The impact of software enhancement on software reliability

This paper exploits the 'relationship between functional-enhancement (FE) activity and the distribution of software defects' to develop a discriminant model that identifies high-risk program modules, 'FE activity' and 'defect data captured during the FE of a commercial progr...

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Published in:IEEE transactions on reliability Vol. 44; no. 4; pp. 677 - 682
Main Authors: Lanning, D.L., Khoshgoftaar, T.M.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.12.1995
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Computer science; control theory; systems
Computer systems performance. Reliability
Exact sciences and technology
Iron
Marine vehicles
Predictive models
Programming
Scheduling
Software
Software engineering
Software measurement
Software quality
Software reliability
Software testing
System testing
High risk
Improvement
Discriminant analysis
Software development
Vocational aptitude
Software reliability
Modeling
Occupational training
Defect detection
Software engineering
ISSN:0018-9529
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Abstract This paper exploits the 'relationship between functional-enhancement (FE) activity and the distribution of software defects' to develop a discriminant model that identifies high-risk program modules, 'FE activity' and 'defect data captured during the FE of a commercial programming language processing utility' serve to fit and test the predictive quality of this model. The model misclassification rates demonstrate that FE information is sufficient for developing discriminant models identifying high-risk program modules. Consideration of the misclassified functions leads us to suggest that: (1) the level of routines in the calling hierarchy introduces variation in defect distribution; and (2) the impact of a defect indicates the risk that it presents. Thus consideration of defect impact can improve the discriminant results.
AbstractList This paper exploits the 'relationship between functional-enhancement (FE) activity and the distribution of software defects' to develop a discriminant model that identifies high-risk program modules, 'FE activity' and 'defect data captured during the FE of a commercial programming language processing utility' serve to fit and test the predictive quality of this model. The model misclassification rates demonstrate that FE information is sufficient for developing discriminant models identifying high-risk program modules. Consideration of the misclassified functions leads us to suggest that: (1) the level of routines in the calling hierarchy introduces variation in defect distribution; and (2) the impact of a defect indicates the risk that it presents. Thus consideration of defect impact can improve the discriminant results.
This paper exploits the `relationship between functional-enhancement (FE) activity and the distribution of software defects' to develop a discriminant model that identifies high-risk program modules, `FE activity' and `defect data captured during the FE of a commercial programming language processing utility' serve to fit and test the predictive quality of this model. The model misclassification rates demonstrate that FE information is sufficient for developing discriminant models identifying high-risk program modules. Consideration of the misclassified functions leads us to suggest that: (1) the level of routines in the calling hierarchy introduces variation in defect distribution; and (2) the impact of a defect indicates the risk that it presents. Thus consideration of defect impact can improve the discriminant results
Author Lanning, D.L.
Khoshgoftaar, T.M.
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Keywords High risk
Improvement
Discriminant analysis
Software development
Vocational aptitude
Software reliability
Modeling
Occupational training
Defect detection
Software engineering
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Snippet This paper exploits the 'relationship between functional-enhancement (FE) activity and the distribution of software defects' to develop a discriminant model...
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SubjectTerms Applied sciences
Computer science; control theory; systems
Computer systems performance. Reliability
Exact sciences and technology
Iron
Marine vehicles
Predictive models
Programming
Scheduling
Software
Software engineering
Software measurement
Software quality
Software reliability
Software testing
System testing
Title The impact of software enhancement on software reliability
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