• Meer Tauseef Ali
• Dr .Syed Abdul Sattar

Existing error prediction methods based on change metrics and code must rely on source code and software evaluation information and are not always available. The ability to assess software defects at the beginning of an ongoing project allows the development team to effectively allocate resources and efforts. We assessed the correlation between pre-release defects, funding, integration points and final defect units, i.e., the number of defects. Results at earlier integration points may reflect corresponding defects at later integration points. A sample size of 86 subsystems and 108 features were analyzed at subsystem and feature granularity at eight integration points. The final results show that the defects found at integration points IP-3 and IP-4 can be used as good predictors of the total number of defects expected in the final version. The correlation of the defects found in the integration points can be examined in order to identify high-risk modules at the beginning of the development cycle.

Monitoring the quality of software development and thereby anticipating the defects before release: Examples from the Service Sector

"Monitoring the quality of software development and thereby anticipating the defects before release: Examples from the Service Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 8, page no.1227-1233, August-2019, Available :http://www.jetir.org/papers/JETIR1912164.pdf

"Monitoring the quality of software development and thereby anticipating the defects before release: Examples from the Service Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 8, page no. pp1227-1233, August-2019, Available at : http://www.jetir.org/papers/JETIR1912164.pdf