Source code analysis is the automated testing of a program's source code. Its purpose is finding faults and fixing them. Thus, before the application is sold or distributed. What is Source Code Analysis Source code analysis is the automated testing of a program’s source code with the purpose of finding faults. This removes the need for creating and using test cases, and may separate itself from feature-specific bugs like buttons being a different color than what the specifications say. It concentrates on finding faults in the program that may be detrimental to its proper function like crash-causing lines of code. Benefits of Code Analysis Automates certain test processes to save time and manual efforts by defining project related rules
There is no such thing as “the best method for testing”. However, best practices in software testing can yield high-end software at the end. Thorough testing is vital for quality assurance. https://www.youtube.com/watch?v=cMNA5pwHZDg Rely Only on a Controlled Security Environment for Testing Today, many software development companies and freelancers prefer cloud-based testing to capitalize on the cloud’s benefits. Unfortunately, the cloud has tons of vulnerabilities, particularly when the public cloud is in use. Software development agencies instead should invest on testing infrastructure and create a secure testing environment locally to avoid the internet and cloud-based vulnerabilities. For mobile app testing, regional testing labs and libraries are the
Git is a distributed version-control system for tracking changes in source code during software development. Its goals include speed, data integrity, and support for distributed, non-linear workflows. https://www.youtube.com/watch?v=OqmSzXDrJBk All About Git Git is an Open Source Distributed Version Control System. Now that’s a lot of words to define Git. Control System: This basically means that Git is a content tracker. Hence, Git can be used to store content. It is mostly used to store code due to the other features it provides. Version Control System: The code which is stored in Git keeps changing as more code is added. Also, many developers can add code in parallel. So Version Control System helps in handling this by maintaining a history of what c
Defect life cycle is also known as Bug Life cycle It is the journey of a defect cycle, which a defect goes through during its lifetime. It varies from organization to organization. And also from project to project as it is governed by the software testing process. It also depends upon the tools used. https://www.youtube.com/watch?v=EZGDyFPHFMw Bug Life Cycle Status The number of states that a defect goes through varies from project to project. Below life cycle diagram, covers all possible states. New When a new defect is logged and posted for the first time. It is assigned a status as NEW. Assigned Once the bug is posted by the tester, the lead of the tester approves the bug and assigns the bug to the developer team. Open ...
Product risk is risk associated with the software. Project risk is risk associated with testing activity, endangering the test project cycle. https://www.youtube.com/watch?v=vpJ2XKHm8vU Product Risk The possibility that software or system may fail to satisfy end user/customers expectations is known as product risk. They are areas in the AUT where there is a high risk you will find (important or numerous) defects, usually due to changes or other internal factors. There may be the possibility that the software or system does not have the functionality specified by the customer or the stakeholders. Hence, this leads to unsatisfactory software. Its Examples Complex features affecting multiple areas of the existing product, like an upgrade/migrati...
Automating Software Development Life Cycle (SDLC) by using the right tools can digitize your repetitive development processes. This is to gain additional productivity and improve quality and costs. Once we can automate the stages of our software development lifecycle (SDLC), we fundamentally change the game of application delivery. Dashboards are springing up everywhere with real-time data about the most detailed stages of the development process. We have gone from fighting fires to finding out who is starting them. That is, after they implemented the automatic generation of KPI’s and SLA’s monitoring in the SDLC. https://www.youtube.com/watch?v=RBBIT7ai_O0 Why Automate SDLC The automation of process exceptions that was never possible before is now commonp
Cybersecurity firms are training AI systems to detect malware and viruses. It includes algorithms and codes. https://www.youtube.com/watch?v=tdrE1LuPyaM Implementing AI for Cybersecurity Using Biometric Log-ins AI systems can scan finger prints. Likewise retina and palm prints accurately for biometric log-ins. Multiple cybersecurity experts believe that passwords are vulnerable to cyber attacks and users’ personal information, credit card information and social security numbers can be easily compromised. Therefore, deploying AI for cybersecurity has introduced biometric login techniques for secure logins. AI systems can scan fingerprints, retina and palm prints accurately. Such biometric logins can be used in combination with passwords that are alre
The healthcare industry is evolving rapidly with large volumes of data.Also with increasing challenges in cost and patient outcomes. Adopting intelligence in healthcare has given a lot of benefits to companies. This is in terms of patient care. In addition to this, they have have gained popularity, thus increasing ROI. https://www.youtube.com/watch?v=LxHHsujnF9c Uses of AI in Clinical Care Medical imaging – medical scans have been systematically collected. And also stored for some time. Hence, they are readily available to train AI systems. AI could reduce the cost and time involved in analyzing scans. AI has shown promising results in detecting conditions such as pneumonia, breast and skin cancers, and eye diseases. Echocardiography – the Ultromics sys
The "Test Pyramid" is a metaphor that tells us to group software tests into buckets of different granularity. It also gives an idea of how many tests we should have in each of these groups. Although the concept of the Test Pyramid has been around for a while, teams still struggle to put it into practice properly. https://www.youtube.com/watch?v=wE6mEkpHcU8 Test Automation Test automation is a term used in software testing and some other kinds of IT related testing or quality assurance. It means that there is no human input required to generate a test. Different kinds of test automation help businesses to pursue goals. For instance, software testing with fewer resources, or in more efficient ways. Test automation means that no human has to manually