#how software testing works

[kodeclust101]

What is Software Testing How It Works and Steps Involves?

What is software testing?

Software testing is the process of evaluating software or application to ensure that it meets specified requirements and functions as intended.

It is an essential part of the software development lifecycle (SDLC) and involves executing a program or system with the intent of finding errors, bugs, or other defects.

The primary goal of software testing is to identify errors and gaps and whether the outcome of the application matches desired expectations before the software is installed and goes live.

Software testing services aim to improve the quality, reliability, and usability of software products.

By detecting and fixing defects early in the development process, helps to reduce the risk of software failures and enhances user satisfaction.

Types of Software Testing:

There are several types of software testing, each serving a specific purpose and focusing on different aspects of the software. Here are some common types of software testing:

Unit Testing: This type of testing involves testing individual units or components of the software in isolation. It verifies that each unit functions correctly as per its design and specifications.

Unit testing is usually performed by developers using frameworks like JUnit or NUnit.

Integration Testing: Integration testing is conducted to verify the correct interaction and communication between different components or modules of the software.

It ensures that the integrated system works as expected and handles data transfers, API calls, and dependencies correctly.

System Testing: System testing is performed on the complete software system to evaluate its compliance with specified requirements.

It involves testing the system as a whole and covers both functional and non-functional aspects, such as performance, security, reliability, and usability.

Acceptance Testing: Acceptance testing is carried out to determine whether the software meets the acceptance criteria defined by the stakeholders or end users.

It focuses on validating that the software satisfies user requirements and is ready for deployment.

Regression Testing: Regression testing is conducted after making changes or enhancements to the software to ensure that existing functionality has not been affected.

It involves retesting selected test cases to detect any regression or unintended side effects.

Performance Testing: Performance testing evaluates the responsiveness, stability, scalability, and resource usage of the software under various load conditions.

It helps identify performance bottlenecks, such as slow response times or excessive resource consumption and ensures the software can handle expected workloads.

Security Testing: Security testing aims to identify vulnerabilities and weaknesses in the software that could be exploited by malicious entities.

It involves testing for authentication, authorization, data encryption, secure communications, and other security measures.

Usability Testing: Usability testing focuses on evaluating the software's user-friendliness and how well it meets user expectations.

Testers assess factors like ease of use, intuitiveness, navigation, and overall user experience.

Compatibility Testing: Compatibility testing verifies that the software works correctly across different platforms, browsers, devices, or operating systems.

It ensures that the software is compatible with the intended deployment environment.

Localization and Internationalization Testing: Localization testing validates that the software functions correctly when translated and adapted for specific languages, cultures, or regions. 

Internationalization testing ensures that the software is designed to handle different languages, character sets, and local conventions.

Why software testing is important:

The necessity of quality control in software development is widely acknowledged, as late delivery or software defects can have detrimental effects on a brand's reputation, resulting in customer frustration and loss.

In severe cases, bugs or defects can even disrupt interconnected systems or cause significant malfunctions.

Notable instances underscore the impact of software failures, such as Nissan's recall of over 1 million cars due to a software defect in airbag sensor detectors, or a software bug leading to the failure of a USD 1.2 billion military satellite launch.

These examples demonstrate the tangible consequences of software failures, costing the US economy USD 1.1 trillion in assets in 2016 and affecting 4.4 billion customers.

While testing incurs costs, companies can achieve substantial cost savings in development and support by implementing effective testing techniques and robust QA processes.

Early software testing allows for the identification of issues before a product reaches the market. 

By promptly receiving test feedback, development teams can address problems such as architectural flaws, poor design decisions, invalid or incorrect functionality, security vulnerabilities, and scalability issues.

A development approach that prioritizes testing improves software reliability and facilitates the delivery of high-quality applications with minimal errors.

Meeting or surpassing customer expectations through comprehensive testing contributes to potential sales growth and an expanded market share. 

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Also Read: https://medium.com/@kodeclustdm/what-are-the-challenges-of-digital-transformation-for-cios-and-cisos-b6750cd952a3

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[milktrician]

been accidentally falling asleep while watching wayne's elden ring streams as of late

[jensonsbuttons]

i'm a grown ass man child

[tkbrokkoli]

nnnnggghh are these ppl fuckling stupid wtffffff

[realjoehours]

just a little microsoft paint doodle i did to test out my new drawing tablet!

[great-master-airplane]

I handle change so well.

[jailbreak-show]

First concepts / doodles / first animation in an animating program!

[Video description: Polly tilting her head back and forth. End VD.]

[alittleemo]

going to actually lose my shit how is no one in the entire school of architecture competent and useful during a group project is it truly that hard to ask you to do ANYTHING

[shiftingmuse]

Francis Begbie x The Hierophant

[confused-alpaca]

[vent post about computer breaking AGAIN]

[fuck-customers]

(half rant half story)

I'm a physicist. I work for a company that helps develop car parts. Essentially, car companies come to us with ideas on what they want from a part or material, and we make/test the idea or help them make/test it. Usually this means talking to other scientists and engineers and experts and it's all fine. Sometimes this means talking to businesspeople and board execs and I hate them

A bit ago when AI was really taking off in the zeitgeist I went to a meeting to talk about some tweaks Car Company A wanted to make to their hydraulics- specifically the master cylinder, but it doesn't super matter. I thought I'd be talking to their engineers - it ends up being just me, their head supervisor (who was not a scientist/engineer) and one of their executives from a different area (also not a scientist/engineer). I'm the only one in the room who actually knows how a car works, and also the lowest-level employee, and also aware that these people will give feedback to my boss based on how I 'represent the company ' whilst I'm here.

I start to explain my way through how I can make some of the changes they want - trying to do so in a way they'll understand - when Head Supervisor cuts me off and starts talking about AI. I'm like "oh well AI is often integrated into the software for a car but we're talking hardware right now, so that's not something we really ca-"

"Can you add artificial intelligence to the hydraulics?"

"..sorry, what was that?"

"Can you add AI to the hydraulics system?"

can i fucking what mate "Sir, I'm sorry, I'm a little confused - what do you mean by adding AI to the hydraulics?"

"I just thought this stuff could run smoother if you added AI to it. Most things do"

The part of the car that moves when you push the acceleration pedal is metal and liquid my dude what are you talking about "You want me to .add AI...to the pistons? To the master cylinder?"

"Yeah exactly, if you add AI to the bit that makes the pistons work, it should work better, right?"

IT'S METAL PIPES it's metal pipes it's metal pipes "Sir, there isn't any software in that part of the car"

"I know, but it's artificial intelligence, I'm sure there's a way to add it"

im exploding you with my mind you cannot seriously be asking me to add AI to a section of car that has as much fucking code attached to it as a SOCK what do you MEAN. The most complicated part of this thing is a SPRING you can't be serious

He was seriously asking. I've met my fair share of idiots but I was sure he wasn't genuinely seriously asking that I add AI directly to a piston system, but he was. And not even in the like "oh if we implement a way for AI to control that part" kind of way, he just vaguely thought that AI would "make it better" WHAT THE FUCK DO YOU MEANNNNN I HAD TO SPEND 20 MINUTES OF MY HARD EARNED LIFE EXPLAINING THAT NEITHER I NOR ANYONE ELSE CAN ADD AI TO A GOD DAMNED FUCKING PISTON. "CAN YOU ADD AI TO THE HYDRAULICS" NO BUT EVEN WITHOUT IT THAT METAL PIPE IS MORE INTELLIGENT THAN YOU

Posted by admin Rodney.

[alsaurus-loves-dean]

.

[nasa]

Athletes Go for the Gold with NASA Spinoffs

NASA technology tends to find its way into the sporting world more often than you’d expect. Fitness is important to the space program because astronauts must undergo the extreme g-forces of getting into space and endure the long-term effects of weightlessness on the human body. The agency’s engineering expertise also means that items like shoes and swimsuits can be improved with NASA know-how.

As the 2024 Olympics are in full swing in Paris, here are some of the many NASA-derived technologies that have helped competitive athletes train for the games and made sure they’re properly equipped to win.

The LZR Racer reduces skin friction drag by covering more skin than traditional swimsuits. Multiple pieces of the water-resistant and extremely lightweight LZR Pulse fabric connect at ultrasonically welded seams and incorporate extremely low-profile zippers to keep viscous drag to a minimum.

Swimsuits That Don’t Drag

When the swimsuit manufacturer Speedo wanted its LZR Racer suit to have as little drag as possible, the company turned to the experts at Langley Research Center to test its materials and design. The end result was that the new suit reduced drag by 24 percent compared to the prior generation of Speedo racing suit and broke 13 world records in 2008. While the original LZR Racer is no longer used in competition due to the advantage it gave wearers, its legacy lives on in derivatives still produced to this day.

Trilion Quality Systems worked with NASA’s Glenn Research Center to adapt existing stereo photogrammetry software to work with high-speed cameras. Now the company sells the package widely, and it is used to analyze stress and strain in everything from knee implants to running shoes and more.

High-Speed Cameras for High-Speed Shoes

After space shuttle Columbia, investigators needed to see how materials reacted during recreation tests with high-speed cameras, which involved working with industry to create a system that could analyze footage filmed at 30,000 frames per second. Engineers at Adidas used this system to analyze the behavior of Olympic marathoners' feet as they hit the ground and adjusted the design of the company’s high-performance footwear based on these observations.

Martial artist Barry French holds an Impax Body Shield while former European middle-weight kickboxing champion Daryl Tyler delivers an explosive jump side kick; the force of the impact is registered precisely and shown on the display panel of the electronic box French is wearing on his belt.

One-Thousandth-of-an-Inch Punch

In the 1980s, Olympic martial artists needed a way to measure the impact of their strikes to improve training for competition. Impulse Technology reached out to Glenn Research Center to create the Impax sensor, an ultra-thin film sensor which creates a small amount of voltage when struck. The more force applied, the more voltage it generates, enabling a computerized display to show how powerful a punch or kick was.

Astronaut Sunita Williams poses while using the Interim Resistive Exercise Device on the ISS. The cylinders at the base of each side house the SpiraFlex FlexPacks that inventor Paul Francis honed under NASA contracts. They would go on to power the Bowflex Revolution and other commercial exercise equipment.

Weight Training Without the Weight

Astronauts spending long periods of time in space needed a way to maintain muscle mass without the effect of gravity, but lifting free weights doesn’t work when you’re practically weightless. An exercise machine that uses elastic resistance to provide the same benefits as weightlifting went to the space station in the year 2000. That resistance technology was commercialized into the Bowflex Revolution home exercise equipment shortly afterwards.

Want to learn more about technologies made for space and used on Earth? Check out NASA Spinoff to find products and services that wouldn’t exist without space exploration.   

Make sure to follow us on Tumblr for your regular dose of space!

[were--ralph]

why exactly do you dislike generative art so much? i know its been misused by some folks, but like, why blame a tool because it gets used by shitty people? Why not just... blame the people who are shitty? I mean this in genuinely good faith, you seem like a pretty nice guy normally, but i guess it just makes me confused how... severe? your reactions are sometimes to it. There's a lot of nuance to conversation about it, and by folks a lot smarter than I (I suggest checking out the Are We Art Yet or "AWAY" group! They've got a lot on their page about the ethical use of Image generation software by individuals, and it really helped explain some things I was confused about). I know on my end, it made me think about why I personally was so reactive about Who was allowed to make art and How/Why. Again, all this in good faith, and I'm not asking you to like, Explain yourself or anything- If you just read this and decide to delete it instead of answering, all good! I just hope maybe you'll look into *why* some people advocate for generative software as strongly as they do, and listen to what they have to say about things -🦜

if Ai genuinely generated its own content I wouldn't have as much of a problem with it, however what Ai currently does is scrape other people's art, collect it, and then build something based off of others stolen works without crediting them. It's like. stealing other peoples art, mashing it together, then saying "this is mine i can not only profit of it but i can use it to cut costs in other industries.

this is more evident by people not "making" art but instead using prompts. Its like going to McDonalds and saying "Burger. Big, Juicy, etc, etc" then instead of a worker making the burger it uses an algorithm to build a burger based off of several restaurant's recepies.

example

the left is AI art, the right is one of the artists (Lindong) who it pulled the art style from. it's literally mass producing someone's artstyle by taking their art then using an algorithm to rebuild it in any context. this is even more apparent when you see ai art also tries to recreate artists watermarks and generally blends them together making it unintelligible.

Aside from that theres a lot of other ethical problems with it including generating pretty awful content, including but not limited to cp. It also uses a lot of processing power and apparently water? I haven't caught up on the newer developements i've been depressed about it tbh

Then aside from those, studios are leaning towards Ai generation to replace having to pay people. I've seen professional voice actors complain on twitter that they haven't gotten as much work since ai voice generation started, artists are being cut down and replaced by ai art then having the remaining artists fix any errors in the ai art.

Even beyond those things are the potential for misinformation. Here's an experiment: Which of these two are ai generated?

ready?

These two are both entirely ai generated. I have no idea if they're real people, but in a few months you could ai generate a Biden sex scandal, you could generate politics in whatever situation you want, you can generate popular streamers nude, whatever. and worse yet is ai generated video is already being developed and it doesn't look bad.

I posted on this already but as of right now it only needs one clear frame of a body and it can generate motion. yeah there are issues but it's been like two years since ai development started being taken seriously and we've gotten to this point already. within another two years it'll be close to perfected. There was even tests done with tiktokers and it works. it just fucking works.

There is genuinely not one upside to ai art. at all. it's theft, it's harming peoples lives, its harming the environment, its cutting jobs back and hurting the economy, it's invading peoples privacy, its making pedophilia accessible, and more. it's a plague and there's no vaccine for it. And all because people don't want to take a year to learn anatomy.

[consultingwives]

As someone who works in the reliability sector of IT I cannot emphasize how much you have to give 0 fucks about professional standards and best practices in order to do something like what Crowdstrike did.

At the company I work for, which you have definitely heard of, there are thousands of people (including me, hi) part of whose job it is to sit in rooms for literal hours every week with the people building new features and updating our software and ask them every question we can possibly think of about how their changes might impact the overall system and what potential risks there are. We brainstorm how to minimize those risks, impose requirements on the developers, and ultimately the buck stops with us. Some things are just too risky.

Many of the practices developed at this and other companies are now in wide use across the industry, including things like staggered rollouts (i.e. only 1/3 people get this update at first, then 2/3, then everyone) and multi-stage testing (push it to a fake system we set up for these purposes, see what it does).

In cases where you’re updating firmware or an os, there are physical test devices you need to update and verify that everything behaves as expected. If you really care about your customers you’ll hand the device to someone who works on a different system altogether and tell them to do their worst.

The bottom line here is that if Crowdstrike were following anything even resembling industry best practices there should have been about twenty failsafes between a kernel bug and a global update that bricked basically every enterprise machine in the world. This is like finding out the virus lab has a direct HVAC connection to the big conference room. There is genuinely no excuse for this kind of professional incompetence.

[pillowfort-social]

Generative AI Policy (February 9, 2024)

As of February 9, 2024, we are updating our Terms of Service to prohibit the following content:

Images created through the use of generative AI programs such as Stable Diffusion, Midjourney, and Dall-E.

This post explains what that means for you. We know it’s impossible to remove all images created by Generative AI on Pillowfort. The goal of this new policy, however, is to send a clear message that we are against the normalization of commercializing and distributing images created by Generative AI. Pillowfort stands in full support of all creatives who make Pillowfort their home. Disclaimer: The following policy was shaped in collaboration with Pillowfort Staff and international university researchers. We are aware that Artificial Intelligence is a rapidly evolving environment. This policy may require revisions in the future to adapt to the changing landscape of Generative AI. 

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Why is Generative AI Banned on Pillowfort?

Our Terms of Service already prohibits copyright violations, which includes reposting other people’s artwork to Pillowfort without the artist’s permission; and because of how Generative AI draws on a database of images and text that were taken without consent from artists or writers, all Generative AI content can be considered in violation of this rule. We also had an overwhelming response from our user base urging us to take action on prohibiting Generative AI on our platform.  

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How does Pillowfort define Generative AI?

As of February 9, 2024 we define Generative AI as online tools for producing material based on large data collection that is often gathered without consent or notification from the original creators.

Generative AI tools do not require skill on behalf of the user and effectively replace them in the creative process (ie - little direction or decision making taken directly from the user). Tools that assist creativity don't replace the user. This means the user can still improve their skills and refine over time. 

For example: If you ask a Generative AI tool to add a lighthouse to an image, the image of a lighthouse appears in a completed state. Whereas if you used an assistive drawing tool to add a lighthouse to an image, the user decides the tools used to contribute to the creation process and how to apply them. 

Examples of Tools Not Allowed on Pillowfort: Adobe Firefly* Dall-E GPT-4 Jasper Chat Lensa Midjourney Stable Diffusion Synthesia

Example of Tools Still Allowed on Pillowfort: 

AI Assistant Tools (ie: Google Translate, Grammarly) VTuber Tools (ie: Live3D, Restream, VRChat) Digital Audio Editors (ie: Audacity, Garage Band) Poser & Reference Tools (ie: Poser, Blender) Graphic & Image Editors (ie: Canva, Adobe Photoshop*, Procreate, Medibang, automatic filters from phone cameras)

*While Adobe software such as Adobe Photoshop is not considered Generative AI, Adobe Firefly is fully integrated in various Adobe software and falls under our definition of Generative AI. The use of Adobe Photoshop is allowed on Pillowfort. The creation of an image in Adobe Photoshop using Adobe Firefly would be prohibited on Pillowfort. 

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Can I use ethical generators? 

Due to the evolving nature of Generative AI, ethical generators are not an exception.

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Can I still talk about AI? 

Yes! Posts, Comments, and User Communities discussing AI are still allowed on Pillowfort.

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Can I link to or embed websites, articles, or social media posts containing Generative AI? 

Yes. We do ask that you properly tag your post as “AI” and “Artificial Intelligence.”

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Can I advertise the sale of digital or virtual goods containing Generative AI?

No. Offsite Advertising of the sale of goods (digital and physical) containing Generative AI on Pillowfort is prohibited.

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How can I tell if a software I use contains Generative AI?

A general rule of thumb as a first step is you can try testing the software by turning off internet access and seeing if the tool still works. If the software says it needs to be online there’s a chance it’s using Generative AI and needs to be explored further. 

You are also always welcome to contact us at moderation@pillowfort.social if you’re still unsure.

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How will this policy be enforced/detected?

Our Team has decided we are NOT using AI-based automated detection tools due to how often they provide false positives and other issues. We are applying a suite of methods sourced from international universities responding to moderating material potentially sourced from Generative AI instead.

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How do I report content containing Generative AI Material?

If you are concerned about post(s) featuring Generative AI material, please flag the post for our Site Moderation Team to conduct a thorough investigation. As a reminder, Pillowfort’s existing policy regarding callout posts applies here and harassment / brigading / etc will not be tolerated. 

Any questions or clarifications regarding our Generative AI Policy can be sent to moderation@pillowfort.social.