Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6901968 | Procedia Computer Science | 2017 | 8 Pages |
Abstract
The dynamic world of software development brings into arena the issues to deliver the products in the specified time with the fulfilled requirements, wherein the prevention or defining of the faults are among tackling and actual. In this paper the conceptual framework and approach for predicting the faults and errors in software systems is proposed with introducing associative interconnections implied in software systems as prerequisites for better performance assessment and software problem management. This framework, as it is denoted in paper, can be smoothly interrelated with concepts of Data Mining in software fault detection, and intelligent support of decision making.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yusupbekov Nodirbek Rustambekovich, Sh. M. Gulyamov, N.B. Usmanova, D.A. Mirzaev,