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Top Software Testing Companies 2020

For any business to bolster in this digitally transforming world, it is important to test the website or application for all sorts of errors and defects. Software testing is the correct approach to spot performance issues along with safety concerns associated with an application or website. A large number of software testing enterprises have created a global name for themselves through effective service offerings. Interestingly, the topmost software testing companies are situated in the USA that have been supporting renowned technology firms for many years. 

Below mentioned are the leading software testing companies in the USA you can connect for quick assistance: 

1. ScienceSoft

ScienceSoft is one of the topmost software testing companies headquartered in McKinney, Texas. With an experience of 30 years, the company specializes in various QA and software testing services focusing on QA consulting, outsourcing and test automation. The company’s testing center of excellence lies in ISTQB-certified test engineers. The widely known company has successfully completed over 400 testing projects in industries such as retail, banking, information technologies, healthcare, manufacturing, telecoms, and other.

2. ImpactQA

ImpactQA is a renowned best-in-industry software testing and QA consultant company having offices in New York, Dallas, Munich, London, and New Delhi. From being a pioneer in QA testing services to finally serving 250+ clients worldwide, the company is known to deliver a gamut of software testing services namely Automation testing, Performance testing, IoT testing, Cloud testing, Mobile App testing, Security testing, AI testing, and  DevOps testing. Apart from showing digital transformation in the testing industry, they have a pool of QA engineers who help us rank top in the software testing industry.

3. QA Source

QA Source is a renowned software testing company that helps organizations provide modular, portable, maintainable and reusable automation frameworks. From offering automation testing expertise to finally achieving the effective development of automated test scripts, QA Source helps organization test faster. Founded in 2002, QA Source has a team of 257 experts. They work primarily with mid market clients in the financial and healthcare industries. 

4. Qualitest

From providing software testing solutions to finally delivering technology-specific competencies, Qualitest is one of the power play companies in the software testing industry. Their team provides targeted analytics for risk-based decision-making across complex testing environments. Qualitest is considered to be one of the most-trusted full spectrum QA providers. 

5. Oxagile

Oxagile uses its cutting-edge technology to support digital transformation for SMEs and big organizations. With an industry experience of 14 years in software development, its software testing services ensure faster time-to-market and cost-effective solutions. Oxagile’s framework is based on industry-standard tools, automation best practices, and reporting. It also allows quick integration into business workflows to deliver seamless results. 

6. A1QA

A1QA is an independent software-testing firm having headquarters in Lakewood, Colorado, and has branches in the Commonwealth of the Independent States and Europe. The company provides a wide range of QA and software testing services to its global clients. Having 16 years of experience,their team specializes in test automation, web and mobile application testing. Known to have completed 1500+ projects, A1QA has been known to build strong relationships with their clients. 

7. Thinksys

Thinksys is providing QA services along with other software solutions such as software development, cloud computing, artificial intelligence, big data analytics, etc. Thinksys is still a relatively new company in the industry with over 5 years of experience. With a technical team of over 150 professionals, it has proven to be a big player by catering the testing requirements of businesses of all sizes.


The aforementioned companies are some of the best QA and software testing companies in the USA. So, pick the best out of the pipeline and get your product bug-free from the best-in-class professionals.

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5 Topmost Tools for Blockchain App Testing

The emergence of Blockchain technology has transformed the IT space with serious developments involving the supply chain of numbers, data, money, and people. It is interesting to know that software testing companies have suitably embraced blockchain technology due to its highly prospective nature. The effectiveness of this technology to cater to varied testing requirements is a prime aspect that has made QA companies curious enough to gather comprehensive blockchain knowledge.

We cannot deny the fact that blockchain is undoubtedly one of the revolutionary technological blessings which are capable of shaping the future. However, the availability of experts well aware of its applications is less or expensive to hire. As a result, companies aren’t able to incorporate blockchain-based apps without accurate testing. QA companies list such issues as challenges as they wish to access blockchain app testing for quality and stability.
At present, the best software testing companies are loaded with the expertise and resources required to productively test different components of the blockchain app. This write-up helps you gain a clear insight into the importance of Blockchain testing and the popular tools required for examining blockchain-based apps.

What is the Process of Blockchain App Testing?

The testing procedure typically involves functional testing to analyze different functional aspects. Moreover, testers also investigate app performance by spotting possible issues and suggesting necessary tweaks that favor its readiness in terms of launch. Few other important segments of blockchain app testing include:

  • Application programming interface testing or API testing, as it assures testers that the concerned application is capable of formatting and handling API requests excellently.
  • Node and shared ledger testing covering all heterogeneous components to ensure the streamlined functioning of the applications. This is marked necessary since it supports the security analysis of the system and its resistance to potential attacks.

Famous Blockchain App Testing Tools

Below mentioned are the 5 well-known tools for testing blockchain applications:

1. BitcoinJ: It is a library for carrying out operations with the Bitcoin protocol. This Java-based framework is specially created for Bitcoin-based apps that permit interaction with the actual BTC network along with different testing activities. There is no need to download the standardized BTC Core files via for using this tool. By implementing the functions in this library, you can transfer and receive Bitcoins in a real-time setup.

2. Ethereum Tester: There is another open-source blockchain testing library that is accessible in the form of a Github repository. With a simplified setup and tractable API support for different testing requirements, Ethereum Tester can be seen as a highly capable testing tool.

3. Populus: This framework possesses the testing practicality of Ethereum which is well integrated as a set of attributes aimed at testing contract deployment. Populus is principally developed around the py.test framework, thereby, supporting its relatively easy implementation.

4. Embark: You can place your trust in this testing framework that is mainly associated with the development of decentralized applications (dApps) which operate on different systems. The effectiveness of Embark is highlighted through its assimilation with IPFS, Ethereum blockchain as well as a decentralized communication platform like Orbit and Whisper.

5. Truffle: For Ethereum developers, it is a commonly mentioned name that associates impressive testing features, including automated contract testing. This blockchain testing framework is equipped with capabilities that surpass testing functionality, such as working with famous test runners like Chai and Mocha.

Challenges to Blockchain App Testing

The confirmation to adopt Blockchain technology comes with several intrinsic challenges because the change in the technology itself is quite significant. Apart from standard testing and authorization such as functional testing, non-functional testing, security testing, performance testing, and integration testing, there is a need for specialized testing abilities to actively support the testing teams.

Below mentioned are some of the prevalent challenges linked to Blockchain app testing which shouldn’t be ignored by testers.

Lack of Experience

One of the prominent challenges to blockchain testing and development of applications is the inadequate experience with the correct methodology within the Blockchain arena. Gathering knowledge and cultivating additional skills to incorporate Blockchain applications is no doubt quite expensive.

Validate Block and Chain Size

Even though you abide by standard blockchain testing and implement necessary tools, the investigation for block size and chain size is highly essential. Proper determination of block size and chain size will help avoid any sort of failure related to Blockchain applications.


If security testing is not satisfactory, it can lead to the creation of Blockchain applications that are prone to attacks at the user level, network level, and mining level.

Substandard Test Scheme

Lesser significance is given to testing when compared to the overall programming process. Such routine results in forming a Blockchain app development domain with less or almost no dedicated testers for investigating and evaluating Blockchain products. Presently, the testing strategy being executed is substandard leading to ineffective Blockchain app testing.

With a clear description of the importance of blockchain app testing and the popular tools involved, you are also informed about the vital challenges related to the blockchain testing process. For any further assistance or information required, feel free to connect with professional testers at ImpactQA. Each of your doubts associated with blockchain app testing can be suitably resolved by these experts.

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How Does Big Data Testing Impact an Organization?

We cannot deny the fact that data is the gold stock for an organization without which its sustenance is dim. Big Data, known as extremely large sets of data acquired from multiple sources is beneficial for extracting valuable information. This is the reason why every organization is focused to implement the right techniques for the collection, storage, assessment and testing of Big Data.

What is the importance of Big Data testing? It primarily helps to eliminate data complexities through the confirmation of the quality and integrity of your data. Here are three essential pointers that support the vital nature of big data testing in today’s highly competitive world.  

  • High-quality assessment of data is listed as one of the topmost preferences for business organizations. It has become imperative to utilize big data by large organizations to acquire tested and affirmed insights.  
  • For instance, if big data does not undergo a quality test, it might become difficult to provide useful information that can support an organization with decision-making tasks.
  • Even though numerous enterprises organize comprehensive Big Data analysis, there are cases when they fail to obtain the desired result. Under such circumstances, the only smart way to ensure the correct processing and assessment of data is through the implementation of Big Data testing.

Applicability of Big Data Testing for an Organization

Processing of big data can be tricky and does require a structured plan which shouldn’t limit itself to just data validation but also lay emphasis on system testing and other aspects. To overcome this issue and distribute efforts evenly across segments, there are different methods to operate on big data.

Testing Scheme: Frame better testing actions that automate the procedure concerned with the collection and examination of valid data. It is essential to make sure that the test automation scheme runs parallel to the stated business targets.

Functional Testing: While reviewing every aspect of Big Data, functional testing is required to authorize the outcomes. It becomes crucial to perform and validate at each stage with a purpose to eradicate defects and fulfill customer expectations.

Performance Testing: Assessing the performance to measure the speed, stability, and adaptability concerning different data sets. This action involves the analysis of large data under a short period. To be specific, the goal is to highlight defects and remove the blockers which are known to hamper performance.

Benefits of Enterprise-Level Big Data Testing

Apart from the above-mentioned assistance, Big Data testing does prove advantageous in several other ways. Here are 5 such profitable facets of Big Data testing impacting your enterprise:

Slashed Downtime

It is a fact that several applications rely on data for active operations. As for bad data, it tends to hamper the performance and effectiveness of the application. There are cases when during the collection and distribution of data on applications, organizations aren’t able to analyze data health that results in downtime. A smart solution to this issue is Big Data testing which can help modify data quality and associated application processes that eventually reduce the overall downtime.

Better Market Strategies

Currently, businesses are concentrated on extracting big data benefits to plan their digital marketing schemes. As web technology advances, it has become convenient for businesses to gather huge amounts of data based on history and user activity. This data can be converted into a persuasive, individualized experience for every customer who visits the website. In short, big data testing can assist businesses in setting up optimization targeting to make improved decisions.

Enhanced Data Security

For enterprises involved with client applications, it is vital to maintain data confidentiality to sustain the level of trust established by their clients. In case of a breach in data security, the brand name falls in the risk zone. Therefore, it is suggested to conduct big data testing at all levels to avert the chances of data security failure.

Big Data Testing & Security Concerns (Image Source)

ROI Improvement

When it comes to enterprises, it is necessary to get competitive while structuring strategies for Predictive Analytics and Big Data. The addition of testing as a compulsory activity right before any analysis or processing ensures that the organization is dealing with the correct data to expect better outputs. Such an execution is a fine example of uplifting the ROI and take a significant lead over competitors.

Controlled Consistency

The use of different applications by enterprises is a routine act for dealing with diverse data sets which can cause data inconsistencies. It is surely a big disgrace to organizations when the acquired output through Predictive Analytics and Big Data does not show consistency. It is through Big Data testing that variability in data can be determined beforehand to permit suitable actions for discarding the uncertainty.  

This write-up gives a brief outlook as to why Big Data testing is staged upfront for managing Big Data systems. Inappropriate testing of Big Data systems directly affects business, which is something that needs to be addressed first hand. The incorporation of Big Data Testing is basically a correction method that ultimately avoids the wastage of resources.

Big Data testing and its effective impact to an organization can be further understood through expert guidance at ImpactQA. The team of testers and developers are always ready to resolve your doubts associated with testing Big Data for diverse processes.

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