The biggest software failures in recent years | TestFort Blog

The biggest software failures in recent years | TestFort Blog

Two years ago a well-known code collaboration platform GitLab experienced a severe data loss which appeared to be one of the major outages in the IT world.

Everyone who uses modern technologies has encountered errors and software failures. While in most cases the programmers’ mistakes are not too serious, some IT failures can have truly horrific consequences. The other aspect is the price the breached organizations pay. According to the RiskIQ’s report, security breaches alone cost major companies as much as $25 per minute, while crypto-companies may lose almost $2000 a minute due to cybercrime. We have collected some of the most memorable examples of software failures from recent years (with many well-known brands involved) to show how severe the results can be and why preventive measures (such as extensive software testing) are truly required.

Two years ago a well-known code collaboration platform GitLab experienced a severe data loss which appeared to be one of the major outages in the IT world. GitLab originally used only one database server, but decided to test a solution using two servers. Their plan was to copy the data from the production environment to the test environment.

In the process the automatic mechanisms began to remove accounts from the database which were identified as dangerous. As a result of increased traffic, the data copying process began to slow down and then stopped completely due to data discrepancies. To add insult to injury, information from the production database was removed during the copying process.

After several attempts to resume the process, one of the employees decided to delete the test base and start the process again but accidentally deleted the production base. What made things even worse is that the directory holding the copies was empty too — the backups had not been made for a long time due to a configuration error.

What meant to be a standard procedure resulted in an 18-hour outage while the 300 GB of customer data was lost. According to the GitLab’s estimates, the company has lost data on at least 5,000 new projects, 5,000 comments, and 700 users. The company approach to this failure deserves respect. Gitlab explained in detail what happened, broadcasted the restoration procedure on YouTube and published a list of improvements to ensure that this trouble would never happen again. But as they say — the damage is done.

This summer the flag carrier airline of the UK — British Airways — reported an IT system issue that resulted in the delay of hundreds of flights in the UK, while dozens of flights were canceled completely. This failure affected three British airports and thousands of passengers who had to rebook their flights or check-in by using manual systems. Despite the problem being solved, the airports still felt the effect of this failure for a long while before normal service was resumed.

This computer problem at British Airways is just the latest in a series of IT concerns of the airline. Last year British Airways was sentenced to a record fine of 200 million euros for a data breach. This happened because of the cyber-hack which resulted in a website failure compromising the data of 500 thousand customers. British Airways also experienced a massive system failure in 2017, which affected 75,000 passengers and cost the company nearly 80 million pounds.

British Airways is not the only airline that is struggling with programming issues. In 2013 American Airlines had to ground off all its flights because of the computer glitch. And in 2017 the company had over 1,000 flights at risk of cancellation. The plans of many travelers during the holiday season could be ruined because of a single error in the company’s internal scheduling system which gave too many pilots a day off.

When it goes about IT failures, no one is safe. Amazon’s AWS, which is considered to be one of the most reliable hosting services, experienced a serious outage in the eastern coast of the U.S in 2017. The AWS’s infrastructure supports millions of sites, meaning that when the company’s servers go down, it causes a lot of trouble across the internet. It wasn’t a surprise that “major technical difficulties” of ASW had led to the unprecedented problems for hundreds of popular websites.

Many companies of different sizes and from different industries store their data in the data centers of AWS. This includes well-known names such as Netflix, Slack, Business Insider, IFTTT, Nest Trello, Quora, and Splitwise. Many of them were impacted by the outage mentioned above. A lot of websites were completely offline, devices on the Internet of things such as IFTTT lighting controls or Nest thermostats refused to work, Amazon’s assistant Alexa was struggling to stay online, not even Amazon’s own AWS status page worked anymore. This points to one thing – as more and more services rely on AWS good reputation and move their websites to its servers, even small glitches in a single data center become a really big deal.

A vulnerability in Google+ exposed the private information of nearly 500 000 people using the social network between 2015 and March 2018. According to a report by the Wall Street Journal, the major part of the problem was a specific API that might be used to get access to non-public information. Basically, the software glitch allowed outside developers to see the name, email address, their employment status, gender, and age of the network’s users. The error had been discovered in March 2018 and rectified immediately.

The interesting part is — Google did not share the information about the bug in Google+ at once trying not to get into the limelight of the Cambridge Analytica scandal and become noticed by the regulators. At the same time, the WSJ report states, although Google has no evidence of data misuse it also сan’t say there was none. In any case the tech backlash ended sadly for Google+ – the consumer version of the network was shut down shortly afterward.

Last year Facebook, whose ability to handle the private information had been already questioned, confirmed that nearly 50 million accounts could be at risk. Hackers exploited a vulnerability in the system that allowed them to get access to the accounts and possibly to the personal information of Facebook’s users. The attack was detected on September 25, 2018. According to The New York Times sources, 3 software flaws in the network’s systems allowed hackers to access user accounts, including Mark Zuckerberg’s, the CEO of Facebook.

The social network representatives stated that the hackers probably exploited a vulnerability in the “View as” code, the function that allows checking how a profile looks as seen by other people. This, in turn, resulted in the acquiring of authentication tokens, thanks to which the user does not have to log in to the site every time. 90 million users have been logged out of their accounts the day the vulnerability was discovered. Facebook’s representatives explained that 40 additional million accounts had been logged out as a preventative measure. Back then this data breach was the largest in Facebook’s history. According to the new UpGuard’s report, over 540 million records on Facebook users were eventually exposed on Amazon cloud servers.

The cases listed above serve as a reminder of the importance of IT quality assurance of any type of software. They highlight the need of developing an effective approach to testing as a crucial part of the business processes.

The complexity of modern systems is so great that it is usually nearly impossible to perform one particular test and guarantee a perfect result. In most cases, only a combination of manual testing and automated testing allows you to bring a great product to the market. It is important to stress however that the test effort has to be adapted to the priorities of the business. Some modules of the software are often prone to error thus require greater attention of the QA specialists. Testing procedures must be also adapted to the system being tested. Because safety issues are much more critical in some systems than others. The tests must, therefore, be contextual and adapted to the environment.

The testing effort should start as early as possible in the software life cycle. No one will argue that the cost of resolving software bugs in the development process is significantly lower than the cost of resolving issues when the damage (to customer experience and the company’s reputation) is already done. The detailed and effective testing strategy minimizes the likelihood of errors in the end product that can lead to negative consequences for your business.

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Software testing is a sensible activity which identifies defects in the software bugs or loopholes and helps in correcting and preventing those bug and loopholes before the software get released to the end-user. In this universe of increasing addictiveness on Software, Improper performing of software can lead to serious situations, for example, injuries or might be death (airplane software failure might lead to fatalities), loss of time, loss of money and etc. Software testing field has become one of the fastest-developing industries of corporate IT expenditure. In Delhi are there were lots of opportunities for software testing. As indicated by Pierre Audoin Consultants Testing has become one of the fastest-developing segment of corporate IT sector and worldwide it is spending on testing will reach approximately €85bn in 2011, and will nearly hit the €300bn mark by 2017 meaning that is enormous growth in opportunities for Software Testers.

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Software testing in 2020: 7 biggest trends | TestFort Blog

Software testing in 2020: 7 biggest trends | TestFort Blog

In the competitive software development world more and more companies choose popular agile methodologies which, in turn, has an impact on testing practices.

The huge demand for high-quality products created in the shortest time possible made testing a critical success factor of the software development process. Because of the continually evolving technology and competitive market QA specialists are in constant search of new relevant testing techniques, so they can stay relevant and meet the rising customer demands. As a result, new approaches are steadily emerging. Here are some of the most important software testing trends to watch for in 2020.

Agile and DevOps should be definitely mentioned among some of the most popular concepts in software development. Since both DevOps and Agile practitioners work on improving the quality of the products, testing becomes a common area of interest for two groups. In the competitive software development world more and more companies choose popular agile methodologies which, in turn, has an impact on testing practices. In particular, agile methodology ensures that testing becomes an inevitable part of the development process rather than a separate stage. At the same time, DevOps which implements a continuous improvement cycle is aimed at reducing the duration of the testing processes. In the future more and more companies will adopt DevOps philosophy to improve the quality of released products which will have a huge impact on how the testing is done.

Big data continues to gain momentum. According to the Mordor Intelligence report, the Big data technology and service market will grow from 23.1 billion dollars in 2018 to 79.5 billion dollars in 2024. While many companies work with Big data today, managing large amounts of information remains a challenging task, so does the testing of Big data. In order to ensure the high quality of Big data, it cannot be tested only with the help of traditional techniques, you need a well-thought-out approach. In particular, this implies a great emphasis on performance testing and functional testing of applications and software. Data quality is also a critical factor when testing big data, thus it should be always verified before the testing process begins. Undoubtedly, testing plays an important role in Big data systems and the implementation of the right Big data testing strategy can provide a lot of benefits for the business. This includes improving data accuracy, minimizing the losses, facilitating business decisions and strategizing. That’s why it is easy to see that big data services will only become more popular in the future.

According to the Gartner forecast, there will be 20,6 billion connected devices by 2020 compared to 6,4 billion in 2016. This number illustrates the significant expansion as well as the necessity for a thoughtful IoT testing approach. World Quality Report 2018-2019 shows that more than 50% of the surveyed IT companies do not have a specific strategy for testing the software with IoT elements at the moment. At the same time, more than half of them plan to develop a similar strategy in the future. There are plenty of challenges to be faced in the context of IoT, but it is essential that businesses prioritize their IoT testing in the near future. Obviously this will require the adoption of advanced techniques as well as the enhancement of skill of QA specialists.

Artificial intelligence serves as a driver in many areas of technological innovations. The potential of using AI for improving testing processes is also strong, because machines are able to identify the software bugs in a similar or even better way than people. For example, unlike humans, AI is capable to compare the displayed image and the reference image to detect differences between them or determine if a texture is rendered correctly. Machine learning can also make testing processes much more effective. In particular, it can be used for test suite optimizations (to identify unique test cases), predictive analytics (to predict the main parameters of testing processes based on historical data), log analytics (to identify test cases that need to be performed automatically), and defect analytics (identify high-risk applications for prioritizing regression tests).

More and more companies start to use open source solutions for their workflow, and testing is not an exception. Since open-source tools are free, many people can have access to them and make their contribution to software quality assurance. In addition, customization can be made fairly quickly, so these types of tools can be easily adjusted to the business testing needs. Despite some security challenges, open source tools will probably prevail in the software testing industry in the coming years.

According to GSMA, there are 5.15 bln people globally owning mobile devices today and this number is only expected to grow. The time people spend using phones also increases which means that mobile app testing becomes even more important. Testing mobile apps have never been easy. Due to the different types of phones and operating systems, the same function has to be tested several times before the app reaches the market. The devices with internet connection are tested even more thoroughly in order to prevent security breaches. There are native, web and hybrid apps, each having its own specifications. To keep up with their continuous updates, a platform for rapid automated testing of mobile apps is needed. Automation simplifies the testing process in general, helps to speed up regression testing, and makes it possible to use previously inaccessible types of tests. The demand for mobile testing automation is also driven by the necessity of fast time-to-market in a highly competitive software development market.

Blockchain is a disruptive technology that provides companies with a great opportunity to cooperate, track assets, and share data. Recent Deloitte’s survey reveals strong interests of businesses in the blockchain solutions – 53% of surveyed organizations said that technology has become a critical priority for their business this year. At the same time, most companies are aware of the risks associated with the introduction of technology, such as data security issues and integration with third-party applications. That’s why they understand the necessity of effective blockchain testing strategies. Further development and adoption of the technology will entail an increase in demand for QA specialists who are able to ensure the quality and security of the blockchain apps.

JavaScript Testing - Unit Tests, Integration Tests & e2e Tests

JavaScript Testing - Unit Tests, Integration Tests & e2e Tests

JavaScript testing - i.e. unit tests, integration tests and e2e (UI) tests - can be intimidating. It shouldn't be! This video guides you through all the basics (including the "Why"?) of JavaScript testing. JavaScript Testing Introduction Tutorial - Unit Tests, Integration Tests & e2e Tests. Master JavaScript testing now!

JavaScript testing - i.e. unit tests, integration tests and e2e (UI) tests - can be intimidating. It shouldn't be! This video guides you through all the basics (including the "Why"?) of JavaScript testing. Master JavaScript testing now!