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Cross-Project Defect Prediction: A Literature Review
IEEE Access, 2022 Background: Software defect prediction models aim at identifying the potential faulty modules of a software project based on historical data collected from previous versions of the same project.
Sourabh Pal, Alberto Sillitti
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Software Fault Prediction using Language Processing [PDF]
Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION (TAICPART-MUTATION 2007), 2007 Accurate prediction of faulty modules reduces the cost of software development and evolution. Two case studies with a language-processing based fault prediction measure are presented. The measure, refereed to as a QALP score, makes use of techniques from information retrieval to judge software quality.
BINKLEY D +3 more
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Cost curve evaluation of fault prediction models [PDF]
, 2008 Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consensus on the methodology to select the “best model” for the specific project.
Bojan Cukic, Tim Menzies, Yue Jiang
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Applied Sciences, 2023 Alongside the modern software development life cycle approaches, software testing has gained more importance and has become an area researched actively within the software engineering discipline.
Emin Borandag
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Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction [PDF]
PeerJ Computer Science, 2021 Fault prediction is a necessity to deliver high-quality software. The absence of training data and mechanism to labeling a cluster faulty or fault-free is a topic of concern in software fault prediction (SFP).
Syed Rashid Aziz +2 more
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Predicting software faults in large space systems using machine learning techniques [PDF]
, 2011 Recently, the use of machine learning (ML) algorithms has proven to be of great practical value in solving a variety of engineering problems including the prediction of failure, fault, and defect-proneness as the space system software becomes complex ...
Twala, Bhekisipho
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Efficacy of Inheritance Aspect in Software Fault Prediction—A Survey Paper
IEEE Access, 2020 Software fault prediction (SFP) is a research area that helps development and testing process deliver software of good quality. Software metrics are of various types and are used in SFP for measurements. Inheritance is a prominent feature, which measures
Syed Rashid Aziz +2 more
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An Empirical Study on Dependence Clusters for Effort-Aware Fault-Proneness Prediction [PDF]
, 2016 A dependence cluster is a set of mutually inter-dependent program elements. Prior studies have found that large dependence clusters are prevalent in software systems.
Binkley, D +6 more
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Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm [PDF]
Journal of Universal Computer ScienceFault prediction of multimedia software is necessary to develop good quality multimedia software because integrating various multimedia heterogeneous components in a software system usually generates many faults.
Manpreet Singh, Jitender Kumar Chhabra
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A fuzzy logic expert system to predict module fault proneness using unlabeled data
Journal of King Saud University: Computer and Information Sciences, 2020 Several techniques have been proposed to predict the fault proneness of software modules in the absence of fault data. However, the application of these techniques requires an expert assistant and is based on fixed thresholds and rules, which potentially
Golnoush Abaei +2 more
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