2009
DOI: 10.1016/j.infsof.2008.04.008
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Integrating in-process software defect prediction with association mining to discover defect pattern

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Cited by 39 publications
(15 citation statements)
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“…It basically deals with finding rules that will predict the occurrence of item based on the occurrence of other items. [11,17,40,26] 3. Clustering: Clustering is a way to categorize a collection of items into groups or clusters whose members are similar in some way.…”
Section: Software Defect Predictionmentioning
confidence: 99%
See 1 more Smart Citation
“…It basically deals with finding rules that will predict the occurrence of item based on the occurrence of other items. [11,17,40,26] 3. Clustering: Clustering is a way to categorize a collection of items into groups or clusters whose members are similar in some way.…”
Section: Software Defect Predictionmentioning
confidence: 99%
“…Ching-Pao Changet al [40] proposed approach, Action-Based Defect Prediction (ABDP),which uses the classification with decision tree technique to build a prediction model, and performs association rule mining on the records of actions and defects. The association rule mining finds the maximum rule set with specific minimum support and confidence and thus the discovered knowledge can be utilized to interpret the prediction models and software pro-cess behaviours.…”
Section: Sdp Using Decision Treementioning
confidence: 99%
“…Some of the research has propose the ways to detect defect at an early stage to reduce their impact, but Chang et al (2008) has proposed a new approach to prevent defects from occurring and has been applied to improve software quality and productivity in many organizations. To prevent defects from occurring in advance, it uses a causal analysis approach to discover the cause of defects and take corrective actions on it.…”
Section: The Problem Is That the Variable Y Is Only Declared Within Tmentioning
confidence: 99%
“…This includes the success factors of software projects that attracted researchers a long time ago [1], the support of software testing management [2] and the defect pattern discovery [3]. The software defects estimation and prediction processes are used in the analysis of software quality [4].…”
Section: Introductionmentioning
confidence: 99%
“…In [2,3,15], data mining techniques are used to search for rules that indicate modules with a high probability of being defective. Other techniques include the use of SVM and Service oriented architecture using expert COCOMO [16,17].…”
Section: Introductionmentioning
confidence: 99%