#Systems Development Life Cycle (SDLC) | Explore Tumblr posts and blogs

desiderium-interactive-fiction · 1 year ago

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Added Another 5,000 Words to Demo & Work Philosophy For IF

Desiderium is now at least 15,000 words!

I added about 5,000 more words to the demo (maybe a little less). I'm trying to update it daily. I had a lot of fun today playing around with how each RO will interact with each other in a particular instance (asking if the RO the user has chosen to pair up with for a scouting mission has ever been in love). Still have to write the pairings for the user-created character, though. That will involve more choices compared to the scenes with pre-made characters, though.

A lot of this is just a rough draft and while the core concepts will stay, I definitely plan to go back and add flavor text, more descriptions (not tooooo much though), reword things, and just overall make things better.

As for work philosophy, I'm a BSA (business systems analyst) in my professional life and have a background in software development and the SDLC (software development life cycle). I'm planning on completing this book/game the way I would manage a project for my software team.

I plan to put at least several hours of work in a day and am using a Kanban methodology to keep track of everything. While I haven't really coded much since college, I am familiar with choicescript and it's honestly kind of a breeze compared to C, MIPS, Java, etc.

Keeping track of software development is kind of my thing so I'm anticipating that I will be able to stick with my milestones and overcome risks as they pass by.

Additionally, I have created an internal documentation stack on Confluence that has a bunch of lore for the world in my story and I can't wait to share (the non-spoilery) parts of it with everyone. Stay tuned!

Also, currently I'm using CSIDE as my IDE but I've heard that visual studio might have a choicescript plugin and honestly that might make it easier to push updates via git so I'll be looking into that, too.

#interactive fiction #books #my writing #reading #update #choicescript #hosted games #desiderium if #writing

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techsmarts · 2 years ago

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ByteByteGo nails another "a picture is worth a thousand words" infographic. This one highlights some key differences between traditional SDLC, DevOps and emerging NoOps.

In a traditional software development, code, build, test, release and monitoring are siloed functions. Each stage works independently and hands over to the next stage.

DevOps, on the other hand, encourages continuous development and collaboration between developers and operations. This shortens the overall life cycle and provides continuous software delivery.

NoOps is a newer concept with the development of serverless computing. Since we can architect the system using FaaS (Function-as-a-Service) and BaaS (Backend-as-a-Service), the cloud service providers can take care of most operations tasks. The developers can focus on feature development and automate operations tasks.

NoOps is a pragmatic and effective methodology for startups or smaller-scale applications, which moves shortens the SDLC even more than DevOps.

(via EP90: How do SQL Joins Work? - ByteByteGo Newsletter)

#bytebytego #devops #sdlc #noops

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briskwinit123 · 2 days ago

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How Regression Testing Fits into the Software Development Life Cycle (SDLC)

Do you ever launched a new feature only to realize that an older one mysteriously broke? Yes — that’s exactly where regression testing comes in to save the day. Whether you’re a developer, QA analyst, product owner, or tech enthusiast trying to understand how the gears of software quality turn, this guide will walk you through the when, where, and why of regression testing within the Software Development Life Cycle (SDLC). Let’s break it down, step by step.

First, What Exactly Is Regression Testing?

In simple terms, regression testing ensures that new code changes don’t break anything that was previously working. It’s a repeatable process that retests existing functionality after updates, bug fixes, enhancements, or integrations. Think of it as a safety net. You're not just checking if the new feature works — you're confirming that everything else still works with it.

Understanding the Software Development Life Cycle: A Quick Refresher

Before we explore where regression testing fits in, let’s quickly recall the stages of a typical Software Development Life Cycle:

Requirement Gathering & Analysis

Design

Development (Coding)

Testing

Deployment

Maintenance

Regression testing doesn’t just sit in one stage — it weaves through multiple points, particularly from testing onward.

Regression Testing in Action: Stage by Stage

Requirement Gathering & Analysis: The Groundwork

At this early stage, regression testing isn’t directly involved yet — but your test planning begins here. If you’re a QA or project manager, ask yourself — "What parts of the app are most likely to be affected by future changes?"

Mapping dependencies early helps you identify key areas to include in your regression test suite later on.

Design: Thinking Ahead

When technical and UI/UX design is finalized, the QA team begins designing test cases — both for new features and critical existing features that might be impacted. Tools like TestRail or Zephyr come in handy here to organize regression scenarios alongside functional test cases.

Document modules with high change frequency — they’re prime candidates for ongoing regression coverage.

Development: Code, Merge, Repeat

During the development phase, regression testing quietly prepares in the background. Once code is committed:

Unit tests are run.

Continuous integration pipelines trigger automation scripts.

Regression test sets are prepared to run once new builds are ready.

If your team follows Agile or DevOps, regression tests are often run after every sprint or even nightly in CI/CD workflows.

Ask your development team: "Are we tagging high-risk components so we can test around them?" It actually saves time when selecting regression scope.

Testing: Regression Testing Comes to Life

Now comes the main stage for regression testing. When the new build hits the QA environment, regression testing begins in full swing. Here’s where you might use:

Manual regression testing for complex user flows

Automated regression testing for repetitive, high-priority test cases

Typical triggers for regression testing at this stage are new feature rollout, Bug fixes, Database changes, Code refactoring and Integrations with third-party APIs. The goal is, catch anything that breaks — before users do.

You may think like a user- “Does login still work? Can I still add to cart? Do emails still send?” That’s the mindset you need when selecting regression cases.

Deployment: Final Checks Before Go-Live

Before pushing the release to production, a final regression sweep is often performed on a staging environment. This is known as a pre-deployment regression check, and it’s crucial — especially for:

High-traffic apps

Payment gateways

Systems with sensitive data

Overlooking regression testing here is equivalent to neglecting a critical pre-launch checklist — it compromises the integrity of your entire release. Use automation here for speed, but keep a manual tester on standby for exploratory verification.

Maintenance: Regression Never Sleeps

Even after deployment, regression testing continues during:

Patch updates

Security fixes

Performance tuning

Here, automation works the most. Your regression suite evolves into a living asset — growing with your application. It’s common for teams to schedule weekly or nightly regression runs to ensure the app stays stable over time.

Ask your team: "Do we have a regression suite that auto-runs when we update our dependencies or libraries?" If not, now’s the time to start building one.

Building a Smart Regression Testing Strategy

Want to make regression testing really work for you? Focus on:

Test Prioritization

Not everything needs to be tested every time. Classify tests as:

Smoke (basic functionality)

Sanity (key flows)

Full Regression (deep testing across the app)

Automation

Automate repetitive tests with tools like:

Selenium

Cypress

TestNG

Playwright

These save time and boost consistency — especially in CI/CD setups.

Continuous Updates

Your regression suite should evolve with your app. Add new cases for every release, and remove obsolete ones. It all matters because, in this fast-moving digital world, you can’t afford uncertainty in software quality. A single untested change could mean:

Broken payment systems

Crashed mobile apps

Unhappy users

Bad reviews

With robust regression testing in your Software Development Life Cycle, you gain:

Confidence in code stability

Faster release cycles

Fewer hotfixes

Better user experience

Bottom Lines

Regression testing isn’t a one-off task. It’s a discipline, a mindset, and a guarantee that progress won’t come at the cost of performance. So, the next time your team moves forward — adding features, fixing bugs, deploying upgrades — don’t forget to look back. Because regression testing is what ensures your past victories aren’t undone by your next update.

At BriskWinIT Solutions, we specialize in delivering thorough, efficient, and scalable regression testing services personalized to your development lifecycle. Whether you're scaling fast or making incremental changes, we help ensure your software evolves — without breaking what matters. After all, progress without protection is just a chance — and BriskWinIT is here to make sure you never have to take that risk.

Over to You!

How does your team handle regression testing in your Software Development Life Cycle? Do you rely more on manual or automated methods? Have a favourite regression tool?

Drop your thoughts, experiences, or questions in the comments below. Let’s keep the quality conversation going. Contact us right away!

#Regression Testing Services #best regression testing services

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solverixtechnologies · 3 days ago

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What is Agile Methodology in Software Development?

In today’s rapidly evolving tech landscape, software development has undergone a massive transformation. Traditional linear models are giving way to more dynamic approaches like Agile methodology in software development. Businesses now expect faster delivery, better flexibility, and more customer-centric solutions. That’s why many organizations, especially software development companies in India and tech hubs like Mumbai, are increasingly adopting Agile to meet modern demands efficiently.

What is Agile Methodology?

Agile methodology is an approach to software development and software engineering that emphasizes flexibility, collaboration, and iterative progress. Instead of following a rigid, step-by-step process, Agile encourages breaking the project into smaller tasks (called iterations or sprints) that are developed, tested, and improved continuously.

The goal is to deliver working software quickly, adapt to feedback fast, and involve stakeholders throughout the process. This makes Agile methodology in software engineering particularly effective in projects where requirements evolve over time or when the end goal isn’t entirely clear from the start.

Core Principles of Agile

Agile is guided by the Agile Manifesto, which outlines four core principles that shape its process:

Customer collaboration over contract negotiation

Working software over comprehensive documentation

Responding to change over following a fixed plan

Individuals and interactions over processes and tools

These principles enable software development firms to stay responsive, maintain transparency, and deliver value consistently—even in fast-paced or unpredictable environments.

Agile in the Software Development Life Cycle (SDLC)

So, where does Agile fit into the software development life cycle? The answer: everywhere.

Here’s how Agile methodology in software development life cycle works:

Planning – Define goals, timelines, and user stories.

Designing – Create initial prototypes or wireframes.

Developing – Code in small, functional modules.

Testing – Continuously test with each sprint.

Deploying – Launch the updates incrementally.

Reviewing – Analyze results, gather feedback, and plan next steps.

Each cycle is repeated with improvements, ensuring that the software evolves according to real-time user needs.

Popular Agile Frameworks

There’s no one-size-fits-all when it comes to Agile. That’s why software development companies choose from various frameworks based on project needs. The most common ones include:

Scrum – Focuses on sprint-based development and team roles like Product Owner and Scrum Master.

Kanban – Uses visual boards to manage workflow and limit work-in-progress.

Lean – Emphasizes minimizing waste and maximizing value delivery.

Each framework offers unique advantages depending on the project size, team structure, and business goals.

Benefits of Agile Methodology

Agile offers numerous advantages for both development teams and clients:

Faster Time to Market – With quick iterations, product updates are released faster.

Improved Product Quality – Frequent testing leads to early bug detection.

Enhanced Team Collaboration – Agile encourages daily stand-ups and constant communication.

Better Change Management – Teams can easily pivot based on client or market feedback.

Software development companies in Mumbai, for example, are using Agile to stay competitive, delivering high-quality software while adapting to client requirements in real time.

Who Uses Agile?

Today, Agile isn’t limited to just startups. It’s used across a wide range of industries and by various types of companies for software developers, including:

Tech startups building MVPs

Enterprise-level IT firms managing large systems

Consulting agencies handling client-based projects

Industries like fintech, e-commerce, healthcare, and edtech benefit heavily from Agile’s flexible and fast-paced nature. Any software development firm aiming to stay ahead in the digital era is either using or transitioning to Agile.

Final Thoughts

Agile has become the backbone of modern software development. Its flexible, iterative, and customer-first approach ensures businesses get high-performing solutions tailored to their evolving needs. If you're looking to accelerate your project success, partnering with a reliable software development company in India that leverages Agile practices could be the game-changer your business needs.

#agile methodology #agile methodology in software development #software development

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ittrainingwithplacement · 9 days ago

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What is a QA Software Testing Course, and Why is it Important in Today’s Tech Industry?

Introduction

Imagine launching a new app, only to find users abandoning it due to bugs and glitches. In the fast-paced tech world, such failures can cost companies millions. That’s where QA (Quality Assurance) software testing comes in. A QA software testing course teaches learners how to ensure digital products function smoothly, meet customer expectations, and maintain brand credibility. Today, businesses can't afford to release faulty products. The demand for skilled QA professionals is growing across sectors. Quality assurance testing courses are designed to equip learners with practical skills to meet this demand. Whether you're new to tech or switching careers, enrolling in a QA Testing Online Training Course can open doors to a stable and high-paying job in the IT industry.

What is a QA Software Testing Course?

A QA software testing course is a structured program that trains individuals to test software applications to ensure they are bug-free, functional, and meet user requirements. It typically includes both manual and automated testing techniques.

Key Concepts Covered

Software Development Life Cycle (SDLC)

Software Testing Life Cycle (STLC)

Manual Testing Basics

Automation Testing (using tools like Selenium, QTP)

Defect Tracking and Reporting

Agile and DevOps Methodologies

Test Planning and Documentation

Why is QA Testing Important in the Tech Industry?

1. Quality Control Saves Money

According to the Consortium for IT Software Quality, poor software quality costs the U.S. economy over $2 trillion annually. QA testers prevent such losses by identifying issues early.

2. User Experience Matters

A broken app leads to bad reviews and customer loss. QA testing ensures a seamless user experience.

3. Security Compliance

Many industries like healthcare and finance require thorough testing to comply with regulatory standards. QA testers are crucial in ensuring this.

4. Faster Time-to-Market

Automated QA processes allow developers to release updates quickly without sacrificing quality.

What You Will Learn in a QA Testing Online Training Course

1. Manual Testing Techniques

Learn to write and execute test cases, report bugs, and perform usability testing.

2. Automation Testing Tools

Master tools like Selenium, JUnit, TestNG, and Jenkins. Real-world use cases include writing test scripts and running automated regression tests.

3. Test Management Tools

Explore tools like JIRA, Bugzilla, and TestRail for project and defect tracking.

4. Agile and Scrum Frameworks

Work in sprints, participate in stand-ups, and collaborate in cross-functional teams.

5. Live Projects

Get hands-on experience with real-world scenarios, helping you build a solid portfolio.

Real-World Applications of QA Testing Skills

Software Development Companies

Tech firms rely heavily on QA testers to maintain software integrity.

Banking and Finance

Ensuring the security of financial transactions is non-negotiable. QA testers are responsible for safeguarding sensitive data.

E-Commerce

Testing ensures that checkout flows, payment gateways, and inventory systems work flawlessly.

Healthcare

Medical software must be error-free to avoid risks to patient safety. QA professionals ensure compliance with HIPAA and other standards.

Industry Demand for QA Testers

According to Glassdoor, QA Analysts earn an average salary of $75,000 annually in the U.S. A LinkedIn 2024 report listed "QA Testing" as one of the top 10 in-demand tech skills. With the increasing relevance of QA testing courses, more professionals are gaining the skills needed to meet industry standards. The U.S. Bureau of Labor Statistics predicts a 25% job growth for QA roles from 2023 to 2030, making it a promising and future-proof career path.

Course Structure: Step-by-Step Learning

Week 1-2: Fundamentals of Testing

Introduction to SDLC & STLC

Writing test cases

Week 3-4: Manual Testing Deep Dive

Exploratory Testing

Regression Testing

Week 5-6: Automation Basics

Introduction to Selenium

Writing basic scripts

Week 7-8: Advanced Automation

Framework Development

Integration with Jenkins and Git

Week 9-10: Tools and Frameworks

JIRA and Test Management

Real-time project simulation

Week 11-12: Capstone Project

Apply all skills to a live project

Get feedback from mentors

Who Should Take This Course?

Beginners in IT looking to start a tech career.

Non-tech professionals wanting to transition into QA.

Students aiming to build a strong portfolio.

Manual testers planning to upskill with automation.

Benefits of QA Testing Online Training Course

Flexibility

Learn at your pace, from anywhere, without compromising on your schedule.

Affordable

Online courses are often more cost-effective than bootcamps or college programs.

Certification

Get a shareable certificate that can boost your resume and LinkedIn profile.

Placement Assistance

Many platforms offer career support, including resume building, mock interviews, and job referrals.

Common Tools Taught in QA Testing Courses

Tool

Use Case

Selenium

Automated web testing

JIRA

Bug tracking and project management

TestNG

Test framework for Java

Postman

API testing

Jenkins

Continuous integration

Student Testimonials

"After completing my QA Testing Online Training Course, I landed a job within three months. The hands-on projects made all the difference." - Priya K., Software Tester

"I had zero coding experience. This course taught me everything step by step, from manual testing to automation." - Alex R., QA Analyst

Tips for Succeeding in QA Testing Courses

Practice writing test cases daily

Join QA forums and communities for peer support

Complete all assignments and capstone projects

Regularly update your resume with new skills

Frequently Asked Questions (FAQs)

1. Do I need a tech background to join this course?

No, many courses are beginner-friendly and start with the basics.

2. What if I miss a class?

Most QA Testing Online Training Courses offer recorded sessions.

3. Are there any prerequisites?

Basic computer skills and logical thinking are enough to get started.

4. Will I get a certificate?

Yes, most platforms offer a verifiable certificate of completion.

Key Takeaways

QA software testing is essential for delivering high-quality, reliable software.

A QA Testing Online Training Course can equip you with in-demand skills for a growing industry.

Real-world applications span healthcare, finance, retail, and beyond.

Learn tools like Selenium, JIRA, and Jenkins with step-by-step guidance.

Online training is affordable, flexible, and career-focused.

Conclusion

Mastering QA testing skills is one of the smartest career moves in today’s tech-driven job market. Whether you're just starting or aiming to switch careers, a QA Testing Online Training Course offers the tools, support, and flexibility you need to succeed. With comprehensive QA software testing courses, learners gain hands-on experience in identifying bugs, improving software quality, and understanding testing methodologies that are essential in the IT industry. These skills are not only in high demand but also open doors to a wide range of roles in software development and quality assurance.

Ready to test your future? Enroll in a QA Testing Online Training Course today and start building your dream tech career!

#online training #it training #education #software #technology

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jamecalice · 9 days ago

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Software Testing Training Course

A Software Testing Course is all about giving thorough hands-on training to students who want to test software applications. The course begins with an introduction to software testing and talks about the importance of testing in the software development life cycle (SDLC), development cycle, through which testing manages the quality, functionality, and reliability of software products. Meanwhile, the students would have covered various types of testing at different levels: unit testing, integration testing, system testing, user acceptance testing, functional testing, and non-functional testing. Manual testing comes first, where students practice writing test cases, executing them, reporting bugs, and learning the defect life cycle using tools like JIRA or Bugzilla. Automation has become integral to testing since the evolution of software development, and automation testing takes a huge share of this course. Students learn to write test scripts using popular tools like Selenium, TestNG, and Postman Coding Bit. Beside these tools, the course covers basic programming skills (usually in Java or Python). Students learn to write simple scripts, use conditional statements, loops, and functions, which provide the necessary backbone for building automation frameworks for API or UI testing. Advanced topics may include CI/CD with Jenkins, version control with Git, and behavior-driven development (BDD) with Cucumber. With hands-on projects and real-life case studies, several software testing courses also prepare students for certification such as ISTQB or CSTE, thereby enhancing their employability. These courses are best suited for freshers, manual testers who wish to jump into automation, and people from non-IT fields who strive to create an IT career. Rising needs for quality software assured software testing remains a highly valued and in-demand skill across various industries.

Types of Testing

Explore different types of testing, including:

Functional Testing

Non-functional Testing (Performance, Usability, Security)

Regression Testing

Smoke and Sanity Testing

Automated Testing 📞 Phone Number: +91 9511803947 📧 Email Address: [email protected]

#Manual Testing #Quality Assurance Testing #Software Testing Course #Learn Software Testing #Testing Training #QA Engineer #Software Quality #Bug Hunting

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itonlinetraining12 · 10 days ago

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Are QA Tester Classes the Key to Launching Your Software Testing Career?

Introduction:

In today’s software-driven world, bugs and glitches can translate into lost revenue, damaged reputations, and frustrated users. As companies scramble to deliver flawless digital experiences, the role of Quality Assurance (QA) testers has never been more critical. But for those eager to break into this field, the question looms: Are QA tester classes the secret weapon to kickstart a successful software testing career? In this post, we’ll explore how structured learning programs can equip aspiring testers with the skills, confidence, and industry insight needed to thrive in QA roles.

What Does a QA Tester Do?

Before diving into classes, it’s crucial to understand the core responsibilities of a QA tester:

Test Planning & Design: Crafting test cases and scenarios to cover functional requirements.

Test Execution: Running manual or automated tests to identify defects.

Defect Reporting: Logging bugs in tracking tools with clear reproduction steps.

Regression Testing: Ensuring new code changes haven’t broken existing functionality.

Collaboration: Working closely with developers, product managers, and other stakeholders.

Given this multifaceted role, a solid foundation in technical and soft skills is essential, and that’s where QA tester classes come in.

What Are QA Tester Classes? An Overview

QA testing training is are structured training program delivered online, in person, or via hybrid formats that covers:

Fundamental Concepts: Software development life cycle (SDLC), testing methodologies (waterfall, agile), and testing levels (unit, integration, system).

Manual Testing Techniques: Writing test plans, executing test cases, and reporting defects using tools like JIRA or Bugzilla.

Automation Foundations: Introduction to popular frameworks (e.g., Selenium WebDriver, Cypress) and scripting basics.

Tools & Technologies: Hands-on workshops with test management tools, version control (Git), and continuous integration platforms (Jenkins, Azure DevOps).

Soft Skills: Communication best practices, critical thinking, and attention to detail through real-world exercises.

Classes range from short bootcamps (4–6 weeks) to comprehensive courses (3–6 months), often culminating in projects or capstone assignments that mirror on-the-job scenarios.

Benefits of Enrolling in QA Tester Classes

Structured Learning Path Without a defined roadmap, self-study can quickly become overwhelming. Classes provide a step-by-step curriculum that builds knowledge logically, ensuring no critical topics are overlooked.

Hands-On Practice Many programs incorporate labs and real-world projects where you:

Execute manual and automated tests on sample applications

Configure test environments and debugging tools

Present findings to peers as part of a simulated QA team

Industry-Recognized Curriculum Reputable QA courses align with standards like the International Software Testing Qualifications Board (ISTQB) syllabus, giving you a globally recognized certification path.

Expert Mentorship Access to experienced instructors and guest lectures from seasoned QA professionals offers invaluable insights into best practices, common pitfalls, and emerging trends.

Networking & Placement Support Cohort-based learning fosters peer connections, while many classes partner with employers or offer dedicated placement services to help graduates land their first roles.

Evidence-Based Support: Job Outlook and Earning Potential

According to the U.S. Bureau of Labor Statistics, employment for software developers, quality assurance analysts, and testers is projected to grow 17 percent from 2023 to 2033, much faster than the average for all occupations. Here’s what that means for aspiring QA testers:

Average Annual Openings: ~140,100 per year over the decade

Median Salary (May 2024): $102,610 for QA analysts and testers

Top Industries Hiring QA Testers: Software publishers, computer systems design, finance, manufacturing

These projections underline a robust demand for skilled testers, especially those who can demonstrate practical experience through class projects and certifications.

Core Skills You’ll Gain from QA Tester Classes

1. Manual Testing Mastery

Test Case Development: Learn to break down requirements into clear, executable test cases.

Exploratory Testing: Develop instincts for uncovering edge-case defects.

Defect Lifecycle Management: Use bug-tracking tools to log, prioritize, and verify fixes.

2. Automation Tool Proficiency

Script Development: Write reusable scripts in languages like Java, Python, or JavaScript.

Framework Configuration: Set up test frameworks (TestNG, JUnit, Mocha) and integrate with CI/CD pipelines.

Cross-Browser & Cross-Device Testing: Ensure compatibility across multiple platforms.

3. Test Strategy & Planning

Risk Assessment: Identify high-impact areas requiring thorough testing.

Test Metrics & Reporting: Generate dashboards and metrics (pass/fail rates, defect density) to inform stakeholders.

Continuous Testing: Embed QA into Agile sprints and DevOps workflows.

4. Soft Skills & Collaboration

Effective Communication: Articulate issues clearly to developers and non-technical stakeholders.

Teamwork: Participate in sprint planning, stand-ups, and retrospectives.

Adaptability: Learn to pivot testing priorities based on shifting release timelines.

Real-World Success Story: From Novice to QA Pro

Consider Maria, a career-changer who transitioned from hospitality to tech. After enrolling in a 12-week QA bootcamp:

Weeks 1–4: Grasped testing fundamentals and completed manual test cycles on sample web applications.

Weeks 5–8: Developed Selenium scripts to automate repetitive test cases and integrated them with Jenkins.

Weeks 9–12: Tackled a capstone project—designing an end-to-end test suite for an e-commerce site, presenting results to a panel of instructors.

Upon graduation, Maria leveraged her project portfolio and ISTQB certification to secure an entry-level QA analyst role, with a starting salary 20% above her bootcamp’s placement guarantee.

How to Choose the Right QA Tester Class

Accreditation & Curriculum Alignment

Verify that the course maps to recognized standards (e.g., ISTQB Foundation Level).

Check for up-to-date modules on test automation and Agile/DevOps integration.

Instructor Expertise

Look for trainers with 5+ years of hands-on QA experience.

Read reviews or request instructor profiles.

Class Format & Flexibility

Decide between self-paced vs. live instructor-led sessions.

Ensure schedules accommodate your existing commitments.

Hands-On Components

Confirm availability of virtual labs, real-world projects, and access to industry-standard tools.

Ask about capstone projects and whether code/deployment environments are provided.

Placement & Career Services

Inquire about resume workshops, mock interviews, and employer partnerships.

Review alumni placement rates and average time-to-hire.

Cost & ROI Considerations

Compare tuition against expected entry-level salary gains.

Look for financing options, scholarships, or job-guarantee programs.

Alternatives & Complementary Paths

While QA tester classes offer a fast track into the field, other routes include:

Self-Study & Online Resources: Free tutorials and community forums (e.g., Test Automation University).

On-the-Job Training: Junior QA roles that provide mentorship under senior testers.

Certifications Alone: Earning credentials like ISTQB Foundation or Certified Agile Tester without formal classes.

Each path has trade-offs: self-study is cost-effective but lacks structure; on-the-job learning offers real experience but may not cover automation fundamentals. Combining classes with certifications and hands-on practice often yields the best results.

Maximizing Your Class Investment: Tips for Success

Engage Fully in Labs: Treat simulated projects as real client assignments.

Build a Portfolio: Publish automation scripts on GitHub; document manual test cases and defect reports.

Network Actively: Participate in class discussion boards, QA communities (Ministry of Testing, Stack Overflow).

Pursue Certifications Early: Use class preparation to ace ISTQB or other relevant exams.

Stay Current: Continue learning post-class by exploring new tools (Cypress, Playwright) and methodologies (shift-left testing).

Conclusion:

Quality assurance software testing courses are a powerful catalyst for launching a software testing career. They provide:

A structured curriculum that demystifies complex testing concepts.

Hands-on experience with tools and real-world scenarios.

Industry-aligned certifications and mentorship.

Networking opportunities and placement support.

While not the only path, classes significantly reduce the time-to-competency and help you stand out in a competitive job market. By choosing a reputable program, committing to hands-on practice, and leveraging class resources, aspiring QA testers can confidently step into roles that shape the quality and reliability of tomorrow’s software.

Key Takeaways

Demand Is Growing: QA roles projected to grow 17% through 2033, with competitive salaries (median $102,610)

Structured Learning Speeds Progress: Classes offer a guided roadmap versus scattered self-study.

Hands-On Experience Matters: Real projects and labs build practical skills recruiters seek.

Certification & Networking: Aligning classes with global standards and connecting with peers accelerates your career launch.

Class Selection Is Critical: Evaluate curriculum, instructors, format, and placement support to maximize ROI.

Embark on your QA journey with the right class, and transform your enthusiasm for software quality into a thriving testing career.

#qa course online #qa #software #technology

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practicallogix · 17 days ago

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Integrating AI into the Software Development Life Cycle (SDLC)

Artificial Intelligence (AI) is revolutionizing industries worldwide, and software development is no exception. By incorporating AI into the Software Development Life Cycle (SDLC), organizations can optimize development processes, minimize errors, improve productivity, and accelerate the delivery of high-quality software. From planning and design to testing and maintenance, AI is transforming the way software is developed and managed.

What is SDLC?

The Software Development Life Cycle (SDLC) is a structured framework comprising various phases: Requirement Analysis, Design, Development, Testing, Deployment, and Maintenance. Each phase involves essential decision-making, collaboration, and tools to ensure the software aligns with business objectives. Traditionally, these stages have relied heavily on manual effort and human expertise, but AI is increasingly taking on a supportive—and at times leading—role in streamlining these processes. Role of AI in Various Stages of the Software Development Lifecycle (SDLC)0

1. Requirement Gathering and Analysis

AI-driven tools enhance the accuracy of requirement gathering by analyzing extensive datasets, including customer feedback, usage patterns, and historical project documentation. Techniques such as Natural Language Processing (NLP) can transform informal user stories into structured formats, minimizing miscommunication among stakeholders and streamlining the development process.

2. Design Automation

AI significantly improves the architectural design phase by recommending optimal system configurations based on prior successful implementations. Generative AI can also expedite user interface prototyping by analyzing industry trends and mockups, ensuring alignment with user expectations while reducing overall design time.

3. Coding and Development

AI-powered coding tools, such as GitHub Copilot, Amazon CodeWhisperer, and Tabnine, enhance developer productivity by offering intelligent code suggestions, real-time bug detection, and adherence to coding standards. These tools not only accelerate development but also help reduce common syntax and logical errors.

4. Testing and Quality Assurance

AI has revolutionized the testing phase by automating the generation of test cases, identifying anomalies, and predicting potential failure points. Machine Learning models facilitate intelligent regression testing, prioritize test cases, and analyze risk areas with greater precision and efficiency compared to traditional methods.

5. Deployment and Monitoring

AI optimizes the deployment phase by automating release management, rollback procedures, and infrastructure provisioning. Post-deployment, AI-driven analytics monitor application performance, user behavior, and system health, enabling proactive issue resolution and supporting continuous delivery pipelines.

6. Maintenance and Support

AI plays a vital role in maintenance through automated log analysis, system updates, and performance optimization. AI-powered virtual assistants and chatbots handle routine user support tasks, alleviating the workload on human support teams. Additionally, predictive maintenance capabilities help identify and address potential issues before they impact the user experience.

Benefits of Leveraging AI in the Software Development Lifecycle (SDLC)

Accelerated Development: Automation of repetitive tasks significantly speeds up the development process.

Enhanced Quality: AI minimizes human error and ensures comprehensive test coverage.

Cost Effectiveness: Reduced bugs and optimized workflows contribute to lower overall development costs.

Scalability: AI-powered systems efficiently adapt to increasing project demands.

Data-Driven Insights: AI-generated insights support informed decision-making across all phases of development.

Conclusion

The integration of AI into the SDLC is more than just a technological trend—it is a strategic advantage. By embedding AI throughout the development process, organizations can deliver software that is more reliable, user-centric, and efficient. As AI tools continue to advance, their role in streamlining and refining SDLC processes will only grow, enabling the creation of intelligent, automated, and agile development ecosystems.

#ai in sdlc

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fromdevcom · 24 days ago

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If you want to know the essential factors before investing in an SCA tool, this guide is for you. SCA tools have become indispensable as software development evolves and becomes more complex. While you can’t deny the importance of source code review in the Software Development Life Cycle (SDLC), using an SCA tool plays just as crucial a role. SCA tools help identify vulnerabilities and open-source components within software code, allowing developers to mitigate potential risks and ensure compliance with licensing requirements. However, with so many SCA tools available in the market, it can be overwhelming to determine the best fit for your organization's needs. The good news is that this blog post explores the key factors you should consider before investing in an SCA tool. Understand these seven factors to help you make an informed decision and choose an SCA tool that allows you to achieve your software security goals. What is SCA? Software Composition Analysis (SCA) is an application security procedure designed to track and analyze open-source software components. Essentially, SCA tools give insights into your projects' open-source license limitations and potential vulnerabilities. The tools help your organization stay on top of critical tasks such as license compliance, code quality, and security to reduce overall risks. SCA generally offers these core capabilities: Determine the open-source software you use and its origin to verify license compliance requirements. Discover in-depth information about your source code’s key vulnerabilities and give applicable remediation recommendations. Create a Software Bill of Materials or SBOM to develop a detailed open-source software package inventory. SCA is critical to application security because it helps spot and mitigate risks that come with using third-party components, specifically the vulnerabilities in these components that attackers can exploit. SCA can also help you track third-party component versions to ensure they are up to date and that your organization compiles with license and security policies. 7 Important considerations when choosing SCA tools While your SCA tool can depend on your organization’s unique requirements, there are essential factors you should consider when choosing the best solution. 1. Ease of use Choose an SCA tool that can make your DevOps team’s life easier. At a minimum, the SCA solution should be easy-to-use and intuitive, allowing your team to focus time and energy on core tasks. SCA tools with a steep learning curve can eat into your productive hours. You’re better off choosing a developer-friendly tool that you can easily integrate into your current development process. The tool should also scale with your organization. Additionally, check if the vendor provides developers with proper and complete technical documentation, including easily accessible technical support. 2. Comprehensive vulnerability database Opt for an SCA solution vendor that offers a rich vulnerability database for detecting weaknesses in your open-source packages. Most vendors with this database can offer robust features such as customized notifications and recommendations on fixing the identified vulnerabilities. Also, check if the SCA tool vendor has expert analysts who can help your DevOps and security team understand the vulnerabilities’ nature, including their impact on your organization if you need support. 3. Detailed remediation and reporting Find an SCA tool with detailed reporting features to help your DevOps and security team understand your open-source packages' findings and scan results. At a minimum, the report should include the list of your scanned packages, including these results: Common Vulnerability Scoring System or CVSS and CVSS3 score Vulnerability description The versions affected The SCA solution should also give remediation steps to help your developers fix the identified issues.

4. Binary scanning support Opt for an SCA tool that supports binary file scanning. Not a lot of SCA solutions support this kind of scanning. Failing to perform binary file scanning can leave vulnerabilities within the binaries developers use unchecked. Scanning binary files, such as wheel files, is crucial because scanning the dependencies can spot vulnerabilities that you can easily miss. You’re not likely to get a complete view of your code’s security if you don’t do the binary scanning your developers use. 5. Language support Check the languages the SCA tool supports. SCA is language and ecosystem-dependent (build system, package managers, and more). For example, most SCA solutions rely on lock files (Pipfile.lock or package-lock.json) to spot dependencies, including their respective versions. Opt for an SCA tool that supports the language you use and will use in the future. 6. API and webhooks support Assess whether the SCA tool offers webhook and API support so you can integrate the solution easily into your CI/CD pipeline. Webhook and API support lets you automate SCA scanning as part of the CI/CD process, helping ensure that your apps are security standard compliant and are always up-to-date. Using SCA tools without API and webhook support can mean manually triggering your SCA scans, resulting in potential delays within your pipeline. 7. False positives and negatives detection False positives are vulnerabilities that an SCA tool can incorrectly flag. False negatives are real vulnerabilities that the tool silently skipped. Your best bet is to select SCA tools less likely to generate false positives since this can cause your DevOps teams to waste crucial time and resources. False positive results can lead to your developers spending a lot of time manually checking and investigating the results that don’t pose security risks or threats. It can frustrate developers, decreasing their trust in the tool and leading them to refrain from using or ignoring it, which defeats its purpose. Find a reliable SCA tool with robust detection features to minimize false positives. Find the right SCA tool for your organization Investing in an SCA tool can greatly benefit your organization in terms of software security, compliance, and overall productivity. Consider crucial factors before deciding and carefully evaluate each to help you select the best-fitting SCA tool for your organization. The right tool can help you manage your software supply chain and mitigate the risks associated with open-source components effectively. Choose an SCA tool that can help safeguard your software assets and maintain your reputation as a trusted provider of high-quality software products.

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trendnologies · 30 days ago

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Software Testing: A Must-Have Phase in Every Product Development Cycle

In today’s fast-moving digital world, users expect smooth, fast, and bug-free experiences — whether it’s a shopping app, an online banking portal, or enterprise software. Behind every successful product, there’s a critical but often overlooked process that makes it all work seamlessly: software testing.

If you're based in Chennai and curious about how software testing shapes the software you use every day — or if you’re looking to build a career in it — Software Testing Training in Valasaravakkam can open doors to new opportunities. But first, let’s understand why software testing is not just important but absolutely essential in product development.

Why Software Testing Is Non-Negotiable in Product Development

Every product development cycle has one clear goal: build a high-quality, user-friendly, and reliable product. Software testing plays a crucial role in this journey. Here’s why:

✅ 1. It Ensures Functionality Works as Expected

Bugs can cause an app to crash, a button to stop working, or even a shopping cart to disappear. Testing ensures that each feature does exactly what it's meant to do.

✅ 2. It Improves User Experience

Users don’t return to glitchy apps. Software testing improves performance, layout consistency, and reliability — which all translate to a better user experience.

✅ 3. It Reduces Cost in the Long Run

Fixing issues early in the development phase is far cheaper than fixing them post-launch. Early testing avoids bigger and more expensive problems later.

✅ 4. It Builds Customer Trust

A smooth-running application creates trust. Users feel more confident when a system works well without errors.

✅ 5. It Validates the Product

Testing validates if the product aligns with the client or business requirements before launch.

Types of Software Testing in the Development Cycle

Understanding the different types of testing can help you see how thorough the process is:

Manual Testing – Performed by testers without using tools, focusing on user behavior.

Automation Testing – Uses scripts and tools like Selenium to run repetitive tests efficiently.

API Testing – Validates communication between different software components.

Performance Testing – Checks how the software performs under load.

Security Testing – Ensures the application is free of vulnerabilities.

These types work together throughout the Software Development Life Cycle (SDLC) to ensure the final product is robust and ready for the market.

Learn Better: A Quick Recap with Bullet Points

Here’s a simple summary to keep things easy:

Software testing checks functionality, usability, and performance.

It helps detect and fix bugs early, saving money and time.

Testing includes manual, automation, performance, API, and security tests.

Quality software = higher user satisfaction and business growth.

Want to Learn Software Testing the Right Way?

If you're someone who’s interested in IT but doesn’t know where to start, software testing is an excellent first step — and you don’t need to be a coder to begin!

For those in and around Valasaravakkam, Chennai, one name stands out: Trendnologies.

Why Choose Trendnologies for Software Testing Training in Valasaravakkam?

Trendnologies is one of the best training institutes in Chennai, known for its hands-on, job-oriented training programs. Whether you’re a student, job seeker, or someone looking to switch careers, their Software Testing Training in Valasaravakkam can help you get career-ready in just a few weeks.

Here’s what makes Trendnologies a smart choice:

Experienced Trainers – Learn from industry professionals with real-world knowledge.

Live Project Training – Practice on real-time software testing scenarios.

Resume Building & Mock Interviews – Get help preparing for job interviews.

Placement Assistance – Trendnologies offers 100% placement support to all students.

Flexible Timings – Weekday and weekend batches to suit your schedule.

Final Thoughts

Software testing isn’t just an extra step — it’s a core phase of every successful product development cycle. With user expectations at an all-time high, businesses simply can’t afford to ignore quality assurance.

If you're ready to step into the world of IT, Software Testing Training in Valasaravakkam is a great entry point — and Trendnologies can guide you every step of the way.

Whether you're a fresher or someone looking to shift from non-IT to IT, it’s never too late to start. With proper training, real-time practice, and expert guidance, you can build a strong career in the growing software industry.

For more info: Website: www.trendnologies.com Email: [email protected] Contact us: +91 7871666962 Location: Chennai | Coimbatore | Bangalore

#100% placement guarantee #it training #trendnologies #non-it to it #software testing course

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quartustechtechnology · 1 month ago

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The Future of Software Development in 2025: Trends, Tools, and Best Practices

Software development in 2025 is not just about writing code—it’s about creating intelligent, scalable, and adaptable digital ecosystems that fuel modern businesses. With technologies like AI, cloud computing, and microservices evolving rapidly, companies must stay ahead of the curve to remain competitive.

This blog explores the key trends, tools, and best practices driving software development today—and what businesses need to know to succeed.

1. The Rise of Custom Software Solutions

Off-the-shelf software is no longer enough for businesses seeking agility and scalability. Custom software development allows organizations to build solutions tailored to their specific needs, workflows, and long-term goals.

Benefits of Custom Software:

Full control over features and security

Better integration with existing systems

Improved scalability and flexibility

Long-term cost efficiency

2. Top Software Development Trends in 2025

Here are the leading trends shaping the industry this year:

a. AI and Automation: AI is transforming the software development process—from intelligent code suggestions to automated testing and deployment.

b. Cloud-Native Applications: Cloud-first development allows teams to build scalable, flexible apps that run seamlessly across platforms.

c. DevOps & CI/CD: DevOps culture and continuous integration/deployment pipelines ensure faster, more reliable software delivery.

d. Low-Code/No-Code Platforms: These platforms empower non-developers to contribute to app creation, speeding up internal development cycles.

e. Progressive Web Apps (PWAs): PWAs combine the best of mobile and web applications, offering enhanced performance and offline capabilities.

3. Agile Development: Still the Gold Standard

Agile methodologies continue to dominate, enabling cross-functional teams to deliver incremental improvements with speed and precision.

Key Agile Practices Include:

Daily stand-ups

Sprint planning and retrospectives

Backlog grooming

Test-driven development (TDD)

4. Choosing the Right Tech Stack

Selecting the right technology stack is crucial. In 2025, top stacks include:

Frontend: React, Vue.js, Angular

Backend: Node.js, Django, .NET Core

Database: PostgreSQL, MongoDB, Firebase

Cloud Platforms: AWS, Azure, Google Cloud

DevOps Tools: Docker, Jenkins, GitHub Actions

5. Software Security and Compliance

With growing cyber threats, security-first development is a must. Developers must integrate security into the SDLC (Secure Development Life Cycle) to prevent breaches and maintain compliance (GDPR, HIPAA, etc.).

Conclusion

Software development in 2025 is dynamic and innovation-driven. Whether you’re a startup or an enterprise, embracing modern development practices—like custom software solutions, AI integration, cloud-native applications, and agile workflows—is the key to digital success.

At Quartus Technology, we specialize in crafting robust and future-proof software solutions that empower businesses to scale efficiently.

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