Software Testing Archives

What is Blockchain Testing?

by admin | Dec 17, 2018 | Software Testing, Blog | 0 comments

Blockchain gives companies the opportunity to track assets, collaborate and share information and to do this efficiently, precisely and securely by using cryptography. Diverse sectors such as healthcare, retail and finance are reaping the benefits of blockchain’s distributed ledger technology. The applications of blockchain have now gone way beyond crypto-currencies such as Bitcoin and other decentralised payment systems. It now has a far wider application. For instance, blockchain enables smart contracts and companies can use this to create their own policies and rules to create contract based applications. Any business solution that requires a high degree of trust benefits while potentially lowering costs. Since blockchain does not need centralised infrastructure, it processes transactions faster and is impervious to cyber-attacks. Easy accessibility and the unchangeable nature of blockchain fosters trust and enhances transparency.

Software testing companies are increasingly encountering blockchain apps being used by private enterprise as well as government entities because of the way that it permits people to manage their digital personas. Since this is a decentralised system, people have better control over their identity and can choose what details they want to share and with whom, choose how and with whom to connect. Blockchain tech lets individuals and business entities send and receive payments without the necessity of bank accounts.

Blockchain may undoubtedly be the technology of the future, but experts who truly understand its applications are scarce and difficult to find as well as expensive to hire. Precisely because of these reasons, companies cannot afford to implement blockchain based apps without thorough testing. This presents obvious challenges for QA companies who are increasingly called upon to deal with blockchain based applications and to test them for suitability and stability in a range of settings. The best QA companies are equipped with the expertise and the resources to ensure that they effectively test all components of the blockchain app as well as the way that they interact with other apps.

The testing process would typically involve functional testing to examine the various functional aspects; to enable smart contracts for instance. Testers would also examine performance of the app, by identifying possible problems and suggesting possible tweaks to ensure readiness for launch. API testing or application programming interfaces tests will also form a part of the testing process so that testers can satisfy themselves that the application is able to handle and format API requests optimally. Additionally, node and shared ledger testing of all heterogeneous components will ensure smooth operation of the applications. This is necessary to test the security and integrity of the system and its imperviousness to possible attacks.

In addition to the above, QA companies will continue to encounter new testing challenges as blockchain tech develops further and is more widely implemented. Software testing companies engaged in mobile application testing, ETL & data-centric testing, and other quality assurance services have to remain on their toes… not only for the sake of their clients, but also their own!

Why Testing Early & Testing Frequently Is Critical for Your Business

by admin | Jan 8, 2019 | Software Testing, Blog | 0 comments

Why software testing services recommend testing early & testing frequently A business wants to be able to identify software vulnerabilities, instabilities and optimize quality and ease of use via testing. It is the job of a QA testing company to assess the performance and speed of an application or piece of software and to gauge its usability and quality. By testing early, it is possible to detect glitches and weaknesses early in the testing and development cycle. When testing is done in shorter, more frequent cycles, this helps with continuous quality maintenance and integration; helping to reduce cost and save time.

Regression testing services benefit from early and frequent testing in particular. Since this type of testing examines the older and existing functionalities of an app or piece of software, it is highly beneficial for apps that need ongoing and frequent modifications. It goes without saying, that the best QA Company would be well aware of the importance of early and frequent testing in these scenarios and will offer the sort of functional testing services that ensure compliance with specified functional requirements of a client. If regression testing is best facilitated via early and continuous testing, so is the effective incorporation of innovations and new ideas. Smart problem solving, finding ways around gaps and glitches, and keeping pace with changing market demands can all be facilitated with this type of habitual testing.

Strengthening Data Science with Quality Assurance

by admin | Dec 22, 2018 | Software Testing, Blog | 0 comments

Putting data science to work How does your Gmail filter out annoying and meaningless spam keeping your inbox manageable? How does your favourite shopping site recommend products that interest you? How does a music streaming service such as gaana.com show up music channels and artistes that you love? This is data science at work! It examines your behaviors and preferences and bases actions and results on this. Vast amounts of raw data is typically streaming into enterprise data warehouses and stored there in order to enable immediate or future mining of what is essentially a trove of potentially valuable, problem solving information. ETL testing (Extract Transform Load) facilitates the transfer of data from various sources to a central data warehouse while using strict transfer protocols to help verify, validate and quantify the data while making sure that there is neither data loss nor any kind of duplication.

Mining this data using quantitative data analytics testing will offer insight into existing issues and help guide strategic, problem solving decision making. This data mining essentially reveals trends and helps understand complex behaviors, which in turn helps analyst draw accurate inferences. For instance an entertainment streaming service or an online fashion store will examine vast amounts of data to reveal what viewers are interested to base future business decisions on. Data warehouse testing will also result in the development of data products and algorithm solutions operating at scale. It helps businesses plan production volumes, based on information gleaned about future demand patterns.

How a QA company helps strengthen data science As software environments and business practices have changed and evolved; providers of QA services have had to keep pace with this evolution to remain current and relevant. A software testing company will review available data to create predictive models and mathematical optimisations. Business leaders find the practical solutions they are looking for, teams can set up SOPs and streamlining of existing processes. This helps minimise waste and removes redundancy. Private and government entities find that mining data for creative solutions helps manage work forces and resolve performance issues. This methodology also helps minimise the risk of performance glitches and failures upon system deployment.

Applying data science to quality assurance processes reviews existing processes, data sources and business models helps to identify and understand clarify business problems in the appropriate context. The QA services provider would then use multiple technologies such as solvers, languages and analytics engines to compare findings and to recommend alterations or improvements. All the vast quantities of data are put to good use to create model implementation, suggest improvements and possible further analyses. A combination of open source or commercial software, advanced analytic algorithms, numerical computing and other tools may be deployed for the best outcomes and to create the best and most holistic solutions.

There are several reason why using an independent QA company is recommended. Your business has access to trained and experienced professionals who keep their teams updated with the latest technology trends. They have a bird’s eye view of the market, which brings valuable insight about the competition and other stakeholders. Their experience with other businesses helps to create a bank of valuable information and the creation of best practices that bring real advantages to businesses looking to grow, expand and increase profitability.

Differences between Black Box and White Box Testing

by admin | Dec 23, 2018 | Software Testing, Blog | 0 comments

As a software testing company / QA Services Company we know that testing software is a critical section in the process of development – we excel at ensuring that the software runs error and bug free, and does what it is meant to do such user experience remains elevated. As a QA company, we are focused on every minute detail of the QA process ensuring that your work processes function unhindered. While software testing might seem cumbersome and time intensive, our expertise ensures your resources and efforts receive a high ROI. Our highly detailed functional testing procedures ensure that you are safe from extensive and last minute code repair – which is a huge saving on time and money.

Techniques used for White Box Testing (WBT) The knowledge of the tester is critical since this would help the tester determine the tests required to uncover any internal working system defects. The tester may conduct statement tests to ensure that each statement has a test case associated with it, and each statement is performed at least once in the testing cycle. Decision tests ensure that decision directions are performed at least once in the testing cycle. To ensure that all the conditions for a specific decision are working well, the tester would conduct branch condition tests, and to check all the combinations of the possible conditions, the decision / condition tests are carried out. Data flow tests ensure that the variables and data used within the system are properly tested and multiple condition tests ensure that each point of entry in the code, are tested at least once in the testing cycle.

Techniques of BBT The inputs are the key factors, and any of the various techniques may be used to choose the inputs during BBT. Boundary Value Analysis tests the boundary values that may have the highest possibility of flawed outputs. In order to identify various modules of errors and reduce the number of required test cases, Equivalence Class Partitioning test is undertaken. A highly skilled tester would use error guessing to check for defects and then proceed to develop analogous test cases.