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UOT 004
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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Bayramova , T.A. Software defect prediction using the machine learning methods / T.A. Bayramova // Problems of Information Technology. - 2023. - N: 2. - P. 23-31. | Annotasiya | Reliability of software systems is one of the main indicators of quality. Defects occurring
when developing software systems have a direct effect on reliability. Precise prediction
of defects in software systems helps software engineers to ensure the reliability of
software systems and to properly allocate resources for the trial process. The
development of an ensemble method by combining several classification methods
occupies one of the main places in research conducted in the field of error prediction in
software modules. This paper proposes a method based on the application of ensemble
training for defect detection. Here, a database obtained from PROMISE and GITHUB
software engineering registry is used to detect defects. Experiments are conducted using
Weka software. The prediction efficiency is evaluated based on F-measure and ROCarea. As a result of experiments, the defect detection accuracy of the proposed method
is proven to be higher than that of individual machine learning methods. | Elektron variant | Elektron variant |
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