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A Critique of Software Defect Prediction Models
- IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
, 1999
"... Many organizations want to predict the number of defects (faults) in software systems, before they are deployed, to gauge the likely delivered quality and maintenance effort. To help in this numerous software metrics and statistical models have been developed, with a correspondingly large literatur ..."
Abstract
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Cited by 292 (21 self)
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Many organizations want to predict the number of defects (faults) in software systems, before they are deployed, to gauge the likely delivered quality and maintenance effort. To help in this numerous software metrics and statistical models have been developed, with a correspondingly large
Metrics in Evaluating Software Defects
"... Due to the popularity of mobile devices and increasing demands of software applications, more and more individual developers join this industry. However, software defects top at the cost of software development. Software metrics are able to show some indication of software defect. This paper reviews ..."
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Due to the popularity of mobile devices and increasing demands of software applications, more and more individual developers join this industry. However, software defects top at the cost of software development. Software metrics are able to show some indication of software defect. This paper
On the relation of refactoring and software defects
- In Proceedings of 2008 international
, 2008
"... This paper analyzes the influence of evolution activities such as refactoring on software defects. In a case study of five open source projects we used attributes of software evolu-tion to predict defects in time periods of six months. We use versioning and issue tracking systems to extract 110 data ..."
Abstract
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Cited by 2 (0 self)
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This paper analyzes the influence of evolution activities such as refactoring on software defects. In a case study of five open source projects we used attributes of software evolu-tion to predict defects in time periods of six months. We use versioning and issue tracking systems to extract 110
Survey on Software Defect Prediction
"... Software defect prediction is one of the most active research areas in software engineering. Defect prediction results provide the list of defect-prone source code artifacts so that quality assurance teams can effectively allocate limited resources for validating software products by putting more ef ..."
Abstract
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Cited by 1 (0 self)
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Software defect prediction is one of the most active research areas in software engineering. Defect prediction results provide the list of defect-prone source code artifacts so that quality assurance teams can effectively allocate limited resources for validating software products by putting more
OF SOFTWARE DEFECT TYPES
"... There have been numerous models predicting software defect counts or probability that a given software part (e.g. module) is defective. The need for such models is unquestionable. However, in many cases software managers would be interested not just in number of defects which are likely to occur in ..."
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There have been numerous models predicting software defect counts or probability that a given software part (e.g. module) is defective. The need for such models is unquestionable. However, in many cases software managers would be interested not just in number of defects which are likely to occur
Studying the impact of clones on software defects
- In Reverse Engineering, Working Conference on
, 2010
"... Abstract—There are numerous studies that examine whether or not cloned code is harmful to software systems. Yet, few of them study which characteristics of cloned code in particular lead to software defects. In our work, we use survival analysis to understand the impact of clones on software defects ..."
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Cited by 9 (4 self)
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Abstract—There are numerous studies that examine whether or not cloned code is harmful to software systems. Yet, few of them study which characteristics of cloned code in particular lead to software defects. In our work, we use survival analysis to understand the impact of clones on software
Patterns of Software Defect Data on Spacecraft
"... The identification of patterns of software defect data yields insights into improving the quality of both operational and future spacecraft. Recent investigations of software defect data at Jet Propulsion Laboratoly has revealed both expected and unexpected patterns of defect data. This paper descri ..."
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Cited by 1 (0 self)
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The identification of patterns of software defect data yields insights into improving the quality of both operational and future spacecraft. Recent investigations of software defect data at Jet Propulsion Laboratoly has revealed both expected and unexpected patterns of defect data. This paper
Assessing predictors of software defects
- in Proceedings, workshop on Predictive Software Models
, 2004
"... OVERVIEW: When learning defect detectors from static code measures, NaiveBayes learners are better than entrophy-based decision-tree learners. Also, accuracy is not a useful way to assess those detectors. Further, those learners need no more than 200-300 examples to learn adequate detectors, especia ..."
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Cited by 8 (4 self)
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OVERVIEW: When learning defect detectors from static code measures, NaiveBayes learners are better than entrophy-based decision-tree learners. Also, accuracy is not a useful way to assess those detectors. Further, those learners need no more than 200-300 examples to learn adequate detectors
Improved Software Defect Prediction
"... Although a number of approaches have been taken to quality prediction for software, none have achieved widespread applicability. This paper describes a single model to combine the diverse forms of, often causal, evidence available in software development in a more natural and efficient way than done ..."
Abstract
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Cited by 4 (1 self)
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Philips internationally). The resulting model (packaged within a commercial software tool, AgenaRisk, usable by project managers) is now being used to predict defect rates at various testing and operational phases. The results of the validation confirm that the approach is scalable, robust and more
Results 1 - 10
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