Journal ArticleDOI
Software fault prediction metrics
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TLDR
Object-oriented and process metrics have been reported to be more successful in finding faults compared to traditional size and complexity metrics and seem to be better at predicting post-release faults than any static code metrics.Abstract:
ContextSoftware metrics may be used in fault prediction models to improve software quality by predicting fault location. ObjectiveThis paper aims to identify software metrics and to assess their applicability in software fault prediction. We investigated the influence of context on metrics' selection and performance. MethodThis systematic literature review includes 106 papers published between 1991 and 2011. The selected papers are classified according to metrics and context properties. ResultsObject-oriented metrics (49%) were used nearly twice as often compared to traditional source code metrics (27%) or process metrics (24%). Chidamber and Kemerer's (CK) object-oriented metrics were most frequently used. According to the selected studies there are significant differences between the metrics used in fault prediction performance. Object-oriented and process metrics have been reported to be more successful in finding faults compared to traditional size and complexity metrics. Process metrics seem to be better at predicting post-release faults compared to any static code metrics. ConclusionMore studies should be performed on large industrial software systems to find metrics more relevant for the industry and to answer the question as to which metrics should be used in a given context.read more
Citations
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Using metrics in Agile and Lean Software Development - A systematic literature review of industrial studies
TL;DR: It is shown that although Agile teams use many metrics suggested in the Agile literature, they also use many custom metrics, and the most influential metrics in the primary studies are Velocity and Effort estimate.
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Identifying, categorizing and mitigating threats to validity in software engineering secondary studies
TL;DR: A classification schema for reporting threats to validity and possible mitigation actions is proposed, which authors of secondary studies can use for identifying and categorizing threats tovalidity and corresponding mitigation actions, while readers of secondary Studies can use the checklist for assessing the validity of the reported results.
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The impact of information security events to the stock market
Georgios Spanos,Lefteris Angelis +1 more
TL;DR: The purpose of this systematic review is to search, collect and classify event studies related to information security impact on stock prices, finding 37 related papers conducting 45 studies found by the systematic search of bibliographic sources.
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Negative samples reduction in cross-company software defects prediction
TL;DR: A novel algorithm named Double Transfer Boosting (DTB) is introduced to improve the performance of cross-company defects prediction by reducing negative samples in CC data and demonstrating that it could be an effective model for early software defects detection.
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Survey on software defect prediction techniques
TL;DR: This work is planning to develop an efficient approach for software defect prediction by using soft computing based machine learning techniques which helps to predict optimize the features and efficiently learn the features.
References
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The measurement of observer agreement for categorical data
J. R. Landis,Gary G. Koch +1 more
TL;DR: A general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies is presented and tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interob server agreement are developed as generalized kappa-type statistics.
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A Coefficient of agreement for nominal Scales
TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
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A metrics suite for object oriented design
TL;DR: This research addresses the needs for software measures in object-orientation design through the development and implementation of a new suite of metrics for OO design, and suggests ways in which managers may use these metrics for process improvement.
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A complexity measure
TL;DR: In this paper, a graph-theoretic complexity measure for managing and controlling program complexity is presented. But the complexity is independent of physical size, and complexity depends only on the decision structure of a program.
Journal ArticleDOI
A Complexity Measure
TL;DR: Several properties of the graph-theoretic complexity are proved which show, for example, that complexity is independent of physical size and complexity depends only on the decision structure of a program.