Predictability of Artificial Intelligence to Intense Agile Testing

  • Riya Shama, Komal Saxena

Abstract

The Agile Testing with the adapting nature of Artificial Intelligence (AI), where the use of artificial predictability helps to getting the information about tests cases and fixing the future errors during software deployment. Agile using AI will create much faster and accurate planning results to increase the rate of developing cycle of software management. AI captures the procedure during the planningof projects and reads the techniques with the help of autonomous maintenance which is adopted under the Total Productive Maintenance (TPM) which now is integrated with predictive maintenance to figure out the critical assets and operational processes during in-execution of the software development project and process. As agile works with the effort and time ratio with the iteration, the AI predictability will enable to ensure about the critical parts between the loops at any step under user information in which that prioritizes known as iterations. In this paper we proposed a procedure of AI predictability to help the agile process.

Published
2020-06-01
How to Cite
Riya Shama, Komal Saxena. (2020). Predictability of Artificial Intelligence to Intense Agile Testing . International Journal of Advanced Science and Technology, 29(10s), 3602-3606. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/20892
Section
Articles