#agile testing

[raphael-moutot-blog]

Deeper dive into Design Thinking tool box In 2018, #StandardCharteredBank run multiple #LUMA system course. This is was a 3 day deep dive on Human centered Design framework: trainees discovered, explored and practiced the Luma Toolset such as:

Interviewing, Walk-a-Mile immersion, Stakeholder Mapping, Experience Diagramming, Creative Matrix, Buy a Feature, Build your own, Concept Poster... so many interesting and practical methods that can and should be used at work.

Last week, my colleagues and I at TCB have enjoyed the Advanced Design Thinking training lead by Doodledesign.

After a first 2 days virtual training during Covid period in 2022, we could eventually enjoy a face to face session. Chris is and his team are awesome facilitators, this 2 days were very smooth and practical. Design Thinking offer a deep range of tools but we really focused on practicing few technics:

What's on your Radar?

Visualize the vote

Abstraction Laddering

Round Robin

Cover Story Mock-up

Critique - (or the art of receiving feedback!

Build your own

Of course we first reviewed the #DoubleDiamondofDesign, where these techniques are key tools of the journey from the Problem Space to the Solution Space.

We also had the opportunity to review the key design thinking facilitator attributes, where each trainee reflected on their strength and weakness.

My key reflection by the end of these 2 days are the following:

What is in for me as a Trainee? • Which of the tools can I really use as transformation leader and Agile Coach? • Which tool dare to practice in real situation with our challenging stakeholders?

What is in for me as Facilitator? • What can I learn from Chris? • What are the Facilitations skills I can grow? • What are the tools, the wordings, the games I can adapt to our Coaching context in order to make our “clients” fully engaged.

Being myself a facilitator, having continuous coaching sessions, training every week our teams to embrace the Agile Mindset, attending this advanced Design Thinking training is a great opportunity to be in the trainees shoes, observe and learn! So please let me thank #Techcombank, Chris and all the participants (especially Group 4) for this opportunity.

Be ready Techcomers for the next advanced Agile training, cause we will improve based on our learning!

Cheers

[softwaretestingexperience]

User stories are a technique taken from the agile development playbook that can easily be applied in traditional systems development and maintenance. User stories help you document needs in a structured way, from the users’ perspective.

[sm-techved]

Revolutionizing Application Testing in Agile Environments: Strategies for Success

In today's fast-paced digital landscape, traditional application testing methods often struggle to keep up with rapid development cycles. As businesses strive for quicker releases and continuous updates, the need for efficient and effective testing strategies has never been more critical. Enter the world of agile testing, where innovative approaches are transforming how we ensure software quality and drive innovation.

Agile testing is not merely about executing tests; it's about seamlessly integrating validation processes into the development workflow. By embracing agile methodologies, organizations can leverage cutting-edge techniques to enhance their software testing practices and deliver superior products to market faster than ever before.

key strategies for optimizing application testing in agile environments:

Embrace the "Shift Left" Approach

The "Shift Left" philosophy is fundamental to agile testing, emphasizing the importance of early application testing in the development process. Unlike traditional waterfall models, where testing occurs at the end, agile encourages validation from the outset. This approach incorporates unit testing and functional testing to ensure each component is thoroughly validated during development.

By integrating validation testing early, teams can significantly reduce defect inflow in the final product. This proactive strategy not only saves time but also minimizes costs associated with post-deployment bug fixes.

Harness the Power of AI Automation

As development speeds increase, manual testing often becomes a bottleneck. AI automation testing offers a powerful solution to this challenge. AI-powered tools can accelerate testing processes by identifying key areas for validation, generating test cases, and even predicting potential failure points.

AI automation is particularly effective in enhancing regression testing. By learning from past test results, AI can focus on areas with higher failure probabilities, improving test coverage and productivity. Moreover, AI-driven performance testing tools can simulate various user scenarios at scale, ensuring web application testing and mobile application testing are prepared for real-world usage.

Implement Continuous Testing with DevOps

In agile environments, the synergy between agile and DevOps practices is crucial. Continuous testing is the linchpin of this collaboration. By integrating testing into Continuous Integration/Continuous Deployment (CI/CD) pipelines, teams ensure that every code change undergoes automated testing before reaching production.

This approach accelerates the development process and enhances overall software quality. Automated tests, ranging from security testing to usability testing, are triggered with each commit, ensuring new features don't introduce vulnerabilities or compromise user experience.

Prioritize Agile Performance and Load Testing

As user expectations for application performance continue to rise, performance testing in agile setups becomes increasingly critical. Rather than conducting performance tests solely before release, agile advocates for continuous performance monitoring throughout the development cycle.

Modern tools enable teams to incorporate web application testing and mobile application testing into their agile workflows, providing real-time insights into application performance under various conditions. These continuous feedback loops help identify and address performance issues early, long before they impact end-users.

Emphasize User-Centric Testing

Agile methodologies place the user at the center of the development process. User testing involves frequent feedback loops that enable rapid iteration based on real user input. Similarly, accessibility testing should be ingrained in the process to ensure applications are usable by all, including those with disabilities.

Advanced AI-powered testing solutions can simulate a wide array of user interactions, providing valuable insights into how different user groups engage with applications. This information is invaluable for refining application design and functionality to meet genuine user needs.

Integrate Security Testing Throughout the SDLC

In an era of increasing cyber threats, security cannot be an afterthought. Agile development demands that security testing be integrated into every stage of the software development life cycle (SDLC). Automated security testing allows for continuous scanning of the codebase, identifying vulnerabilities as soon as they're introduced.

By embedding security testing within existing agile and DevOps processes, organizations can create more secure and resilient applications. This proactive approach ensures that software meets not only performance and usability standards but also rigorous security expectations.

Conclusion

Agile testing is revolutionizing how we approach software quality assurance, security, and user experience. By adopting these strategies, organizations can ensure their testing processes are as agile and responsive as their development cycles.

In a world where change is the only constant, staying ahead of the curve in testing methodologies is crucial. By embracing agile testing principles and leveraging cutting-edge technologies like AI automation, businesses can develop applications that are not only robust and secure but also deliver exceptional user experiences.

As we continue to navigate the complex landscape of software development, one thing is clear: agile testing is not just a trend—it's a necessity for organizations looking to thrive in the digital age. By investing in these advanced testing strategies, businesses can ensure their applications are ready to meet the challenges of tomorrow, today.

[webomates]

How Agile Testing fuels Company’s Digital Evolution

The Challenge: Adapt or Fade

The rapid technological advancements are posing significant challenges for businesses. The pressure to innovate, embrace the latest digital technologies, release applications faster, and meet the customer expectations of customers is higher than ever.

To stay competitive and thrive in this cut-throat market, businesses must keep up with the latest industry trends and transition towards becoming truly digital.

The Solution: Agile Testing

Similar to how the application development has evolved, the testing too has undergone a significant Agile transformation.

Agile Testing is more than just a methodology. It’s a strategic approach that integrates collaboration, efficiency, adaptability, and quality of the application throughout the application development lifecycle, beginning at the requirements phase.

In the State of Agile survey, 61% of respondents said they are adopting agile to both improve process and deliver efficiencies and for Digital Transformation.

The key principles of Agile Testing are:

Conduct testing in parallel with development in short, time-boxed, iterative cycles (sprints)

Adapt to any changing requirements, allowing testing priorities to be adjusted as needed during the development process.

Foster a culture of continuous feedback and constant communication between development and testing teams.

Test early and frequently throughout the development lifecycle.

Encourage collaboration across stakeholders, including business, product owners, and end-users, to ensure that the development and testing objectives align with the overall business objectives.

Agile Testing: A Catalyst for Efficiency in Digital Transformation

Digital transformation across any industry type involves using technology to enhance customer experiences, optimize processes, and enhance efficiency and productivity.

1.Responsive to Changing Requirements

Due to changing business needs and customer expectations, agile projects often involve continuous change and iteration, including modifications to requirements, design, and functionality. These changes require the testing team to adapt quickly and modify test cases accordingly.

Example: In a banking platform, the business team frequently introduces new features like payment options or loan schemes. Agile Testing enables the testing team to quickly adjust test plans and execute regression tests, ensuring continuous delivery.

Webomates AI Value-add: When requirements change, AI-driven tools can quickly adapt and regenerate relevant test scripts. Webomates also applies AI and ML algorithms to its self-healing test automation framework to dynamically adapt its testing scope to the changes.

2.Early Defect Identification

As most of the code defects are introduced during the coding phase, testing activities should begin as early as possible in the development process. Regularly testing code with each code increment guarantees identifying and fixing of defects, and also saves a lot of time and money.

Example: Early detection of any coding errors, integration, or compatibility issues within the features of the application allows for immediate resolution, preventing delays in the project timeline.

Webomates AI Value-add: By testing early and often, Shift Left Testing helps to test each feature the development team develops and provides quick defect data so that they can fix it. It also applies AI/ML to test cases and script creation/healing, execution, and analysis of execution results to reduce mission-critical defects.

3.Deliver working Software Frequently

The application is built in iterative development cycles. Agile Testing is integrated into each sprint, allowing testers to test all user stories and features within that release. This ensures that each code change is validated immediately.

Example: In a banking application, the team can develop, test, and launch an initial version with basic functionalities like login and balance checking, and release advanced features in subsequent iterations. Read for more https://www.webomates.com/blog/agile-testing/how-agile-testing-fuels-companys-digital-evolution/

[habilelabs]

The Agile Framework is an incremental and iterative method of developing software that focuses on teamwork, adaptability, and continuous improvement.

[umarblog1]

Beyond the Bugs: Strategies for Effective Software Testing

The value of efficient software testing has grown in the ever-changing field of software development. While identifying and resolving defects is a crucial step in the process, effective testing goes beyond this. In order to achieve a thorough strategy that guarantees software products that are dependable, strong, and of the highest caliber, we explore techniques in this article that go beyond the conventional limits of software testing.In the vibrant city of Bhopal, where technological advancements are shaping the future, the need for skilled software testers is more crucial than ever. To equip yourself with the knowledge and expertise needed for the dynamic field of software testing, consider enrolling in the best Software Testing course in Bhopal,Moradabad, Delhi, Noida and all cities in india. 

[hybridappbuilder]

Are you Agile Testing savvy? Dive into the core principles that keep your testing game nimble and efficient! 🚀🎯

[market-insider]

Automation Testing Insights: Transforming Testing

The global automation testing market size is expected to reach USD 92.45 billion by 2030. Prominent technological advancement in artificial intelligence (AI) and machine learning (ML) is propelling the demand for the market. Mobile application usage is growing across various end-user industries, and smartphone penetration is rising, opening an attractive potential for market expansion. Furthermore, there is a rising demand for automation testing as web-based applications have developed significantly and new software technologies have emerged. The market is growing rapidly due to the increasing usage of ML and AI for advanced analytics and continuous testing across DevOps and DevSecOps areas.

Automation Testing Market Report Highlights

The services segment dominated the market and accounted for over 56% of the global revenue owing to rapid advancements in implementation services, which make it easier to include automation into a functioning infrastructure for software testing

With the aid of this service, automation is integrated into an existing software automation testing setup

The large enterprises segment held the largest revenue share in 2022 as it helps improve efficiency, reduce manual effort, increase test coverage, and ensure the quality of software applications

The BFSI segment is estimated to have significant growth over the forecast period; adopting digitalization in the BFSI sector creates a significant demand for application software automation testing

Gain deeper insights on the market and receive your free copy with TOC now @: Automation Testing Market Report

The emerging use of RPA to automate time-consuming, error-prone manual processes are just a few instances of the usage of AI & ML in automation testing. Moreover, a bot uses the page’s numerous links and web forms to systematically explore through an online application when web crawling or spidering. This is a new use for AI and ML in automation testing. This approach is typically used for indexing online browsing. It may be improved further to perform reverse engineering on an application being tested and automatically find Test Cases. Emerging automation testing tools are significantly fueling market growth.

For instance, Testcraft, a codeless Selenium test automation platform for regression and continuous testing, as well as monitoring of web applications, is gaining traction among users. Their revolutionary AI tech removes maintenance time and cost, as it certainly affects changes in the app. Similarly, Applitools Eyes, Testim, and Test.ai are more automation testing tools propelling the market growth. Furthermore, mergers and acquisitions by other key players are propelling market growth. For instance, in 2022, to improve the user experience on 5G smartphones, Key sight introduced AI-driven and automated testing. Automation and AI enable mobile service providers and app developers to more swiftly evaluate how smartphone users engage with native apps in the real world.

[syif212]

Teknik Terbaru dalam Rekayasa Perangkat Lunak Aplikasi

Rekayasa perangkat lunak aplikasi terus mengalami perkembangan pesat seiring dengan kemajuan teknologi informasi. Di tengah persaingan yang ketat, para pengembang perangkat lunak berusaha untuk terus memperkenalkan teknik-teknik terbaru guna menciptakan aplikasi yang inovatif, efisien, dan mengikuti tren industri. Dalam artikel ini, kita akan menjelajahi beberapa teknik terbaru dalam rekayasa perangkat lunak aplikasi yang patut diperhatikan.

Penerapan Metode Agile: Metode pengembangan perangkat lunak yang fleksibel dan berorientasi pada kolaborasi antara tim pengembang dan pemangku kepentingan. Agile memungkinkan perubahan kebutuhan dan pengembangan iteratif yang lebih cepat.

Penggunaan Cloud Computing: Mengadopsi teknologi cloud computing dalam pengembangan aplikasi memungkinkan aksesibilitas yang lebih baik, skalabilitas yang lebih tinggi, dan penyimpanan data yang aman.

Adopsi DevOps: DevOps mengintegrasikan pengembangan perangkat lunak dengan operasi IT untuk mencapai pengiriman aplikasi yang lebih cepat dan peningkatan kualitas melalui otomatisasi dan kolaborasi.

Rekayasa Perangkat Lunak Terapan (Applied Software Engineering): Pendekatan yang menggabungkan pengetahuan rekayasa perangkat lunak dengan pemahaman mendalam tentang industri tertentu untuk menciptakan solusi perangkat lunak yang lebih relevan dan efektif.

Pengujian Otomatis: Automatisasi pengujian mempercepat proses pengujian perangkat lunak, meningkatkan efisiensi, dan meminimalkan kesalahan manusia.

Penerapan Kecerdasan Buatan (Artificial Intelligence): Mengintegrasikan kecerdasan buatan dalam aplikasi perangkat lunak untuk meningkatkan fungsionalitas, analisis data, dan interaksi pengguna. Global Entrepreneurial University

Containerization: Teknik untuk memisahkan dan mengemas aplikasi beserta dependensinya dalam wadah yang ringan dan portabel, memungkinkan pengiriman aplikasi yang konsisten di berbagai lingkungan.

Integrasi Continuous Delivery: Prinsip yang memastikan pengiriman perangkat lunak secara terus-menerus dengan mengotomatiskan proses build, pengujian, dan pengiriman.

Penggunaan Framework Modern: Menggunakan framework perangkat lunak terbaru seperti React, Angular, atau Vue.js untuk mempercepat pengembangan aplikasi dan meningkatkan kualitas penggunaan.

Microservices: Menerapkan arsitektur mikro layanan yang memecah aplikasi menjadi komponen mandiri yang lebih kecil, memungkinkan pengembangan, penerapan, dan skalabilitas yang lebih mudah.

Dalam industri rekayasa perangkat lunak aplikasi, penting untuk terus mengikuti perkembangan teknologi terbaru. Dengan menerapkan teknik-teknik inovatif ini, pengembang perangkat lunak dapat menciptakan aplikasi yang lebih tangguh, efisien, dan mampu bersaing di pasar yang kompetitif. Global Entrepreneurial University

Selain itu, penting bagi pengembang perangkat lunak untuk terus belajar dan mengasah keterampilan mereka melalui pelatihan dan sumber daya pendidikan yang tersedia. Dengan memahami teknik terbaru dalam rekayasa perangkat lunak aplikasi, mereka dapat memenuhi tuntutan pasar dan memberikan solusi yang terbaik kepada pengguna.

Dalam kesimpulan, teknik terbaru dalam rekayasa perangkat lunak aplikasi terus berkembang sejalan dengan perkembangan teknologi. Dengan menerapkan teknik-teknik ini, pengembang perangkat lunak dapat menciptakan aplikasi yang inovatif, efisien, dan sesuai dengan kebutuhan pengguna. Teruslah memperbarui pengetahuan dan keterampilan Anda untuk tetap berada di garis depan dalam industri yang terus berkembang ini.

[antisocialxconstruct]

man who can literally read minds but can't conceive of someone genuinely enjoying his company 😬 I did most of this with act one of GC in mind but I couldn't resist doing a little bonus Ilya from later in the story lmao

original template by kogoyun, I did slice it up a bit because trying to view tall images on desktop is hell

[softwaretestingexperience]

A list of upcoming software testing conferences, software quality assurance and DevOps events taking place in 2024 all over the world.

[rewrittenmha]

Quirk Apprehension Test Arc

I think I am gonna go hardass Aizawa route, but one who treats his students equally. He'll still be an asshole, but I think I'm gonna set him up to get called out.

His introduction doesn't change much. He's still in his sleeping bag and still does the QAT instead of orientation. But he has the 1A do two separate tests; one to test their quirk usage and the other to test their physical ability. And he doesn't threaten to expel them (that was never a stipulation of the test), this is just a way for him to find out what needs to be worked on.

Izuku does well on the physical tests, but struggles a lot with the quirk tests. The ball scene still happens, but Aizawa a) doesn't threaten to expel Izuku and b) tears into Bakugou about using his quirk irresponsibly and against his classmates.

Class Ranking for Physical Test (the Quirk Test ranking stays the same):

Eijiro Kirishima

Mashirao Ojiro

Mezo Shoji

Rikido Sato

Tenya Iida

Mina Ashido

Shoto Todoroki

Katsuki Bakugou

Fumikage Tokoyami

Izuku Midoriya

Momo Yaoyorozu

Koji Koda

Tsuyu Asui

Denki Kaminari

Hanta Sero

Ochako Uraraka

Minoru Mineta

Toru Hagakure

Yuga Aoyama

Kyoka Jirou

So, the reason I had Aizawa do a physical test too is because I find it so weird how quirk oriented he is in canon. Someone who literally erases quirks and isn't given any physical advantage from his should be aware that a) heroes should be proficient without relying on a quirk and b) a strong quirk isn't needed to be an efficient hero. He should also have a distaste for people who are reckless with their quirks (which he does have for Izuku but not Bakugou?? Weird). This is where him being inconsistent really comes into play.

(It's like Horikoshi goes out of his way to have canon reinforce quirkism, it's weird)

Don't get me wrong, he's still an asshole. He still thinks Izuku was being lazy with his quirk and he still thinks that Izuku is also to blame for him and Bakugou's awful relationship. But he's way harder on Bakugou than in canon and disciplines him more. Like I said, he's going to get called out for his judgmental behavior and arrogance.

To add to this, Iida and Uraraka seeing Bakugou about to attack Izuku is the start to both of them really disliking him. Iida already didn't like him because of his feet on the desk (based Iida, I can't stand people who do this), but Uraraka, who grew up poor, can't stand his entitled and privileged attitude. She tries to see the good in everyone, but Bakugou makes it hard. She hates that he looks down on others and thinks he's better than everyone else. She would love to knock him down a few pegs.

(foreshadowing)

[mumblelard]

the names of the perfection pieces as chanted silently to myself never previously released or moon, square, winter, warning, fish, star, pill, corner, trilop, tangle, wonky, noodle, circle, cross, summer, sweeper, cup, quilt, diamond, stopper, kite, house, puddle, X, and trangle

[muirneach]

the finals should be like all-stars in other sports and make them do races and tests and stuff