Crowdsoursing as an Alternative to Software Testing

Introduction Crowdsourcing is a new way that has become a rapid topic of information technology (IT). Howa's definition of crowdsourcing (written by Brabham, 2008) is a company's behavior to outsource the work previously done by employees to undefined people's networks or public phones. (Murari and Atigadda, 2014) defines crowdsourcing as the process of encouraging groups of people from the online community, not traditional employees.

Confirmation of the definition The way to begin is using what you want to accomplish, where you are using the AI ​​test software, where you are testing the AI-based system, and the intersection of the essential self-test and build software. Self-healing capability A safe starting point is the pursuit of knowledge and understanding in the fields of artificial intelligence, software testing, and self-management systems. Artificial intelligence is not new. It began in the 1950's, understanding its historical progress and great progress over the years will help you position your work in AI space. Positioning begins with creating a vision of your tool, method, or method, win appropriate talent, coordinate team members, develop solutions, and communicate the value of your work

Welcome to AI of Software Test Association (AISTA). Software testing has not benefited from the advancement of AI (Artificial Intelligence). The new AI-based product breaks the traditional approach to software testing that requires new data-driven testing, verification, and quality measurement methods. AI also offers the opportunity to consider new ways to make software self-testable. AISTA exists to investigate these intersections of AI and software testing.