Results 11 to 20 of about 4,787,648 (245)
A Framework for Defect Prediction in Specific Software Project Contexts
Part 8: QualityInternational audienceSoftware defect prediction has drawn the attention of many researchers in empirical software engineering and software maintenance due to its importance in providing quality estimates and to identify the needs for ...
Wahyudin, Dindin +2 more
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Using artificial intelligence (AI) based software defect prediction (SDP) techniques in the software development process helps isolate defective software modules, count the number of software defects, and identify risky code changes.
Mahesha Pandit +7 more
doaj +1 more source
Machine Learning Empowered Software Prediction System
Prediction of software defects is one of the most active study fields in software engineering today. Using a defect prediction model, a list of code prone to defects may be compiled. Using a defect prediction model, software may be made more reliable by
Abdul Syukor Mohamad
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Software Defect Prediction with Bayesian Approaches
Software defect prediction is an important area in software engineering because it helps developers identify and fix problems before they become costly and hard-to-fix bugs.
María José Hernández-Molinos +4 more
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Large Defect Prediction Benchmark
This is a collection of defect datasets for the software engineering research community. This collection is from 8 corpus as follows: AEEEM-defect-dataset: M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: A benchmark and
Chakkrit (Kla) Tantithamthavorn
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Researcher bias: The use of machine learning in software defect prediction [PDF]
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2014 IEEE. Personal use of this material is permitted.
Bowes, David +5 more
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Explainable Comparison of Software Defect Prediction Models [PDF]
Software defect prediction has become an important research direction in software testing.The comprehensiveness of defect prediction directly affects the efficiency of testing and program operation.However,the existing defect prediction is based on ...
LI Huilai, YANG Bin, YU Xiuli, TANG Xiaomei
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Data quality: Some comments on the NASA software defect datasets [PDF]
Background-Self-evidently empirical analyses rely upon the quality of their data. Likewise, replications rely upon accurate reporting and using the same rather than similar versions of datasets.
Mair, C +7 more
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SODALITE-EU/defect-prediction: M30Release of Defect Predictor
This is M30Release of defect prediction support for TOSCA and ...
IndikaKuma +4 more
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Just‐in‐time defect prediction enhanced by the joint method of line label fusion and file filtering
Just‐In‐Time (JIT) defect prediction aims to predict the defect proneness of software changes when they are initially submitted. It has become a hot topic in software defect prediction due to its timely manner and traceability.
Huan Zhang +4 more
doaj +1 more source

