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  1. Innovations in Systems and Software Engineering
  2. Innovations in Systems and Software Engineering : Volume 10
  3. Innovations in Systems and Software Engineering : Volume 10, Issue 4, December 2014
  4. Multi-objective test prioritization via a genetic algorithm
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Innovations in Systems and Software Engineering : Volume 13
Innovations in Systems and Software Engineering : Volume 12
Innovations in Systems and Software Engineering : Volume 11
Innovations in Systems and Software Engineering : Volume 10
Innovations in Systems and Software Engineering : Volume 10, Issue 4, December 2014
State of practice in requirements engineering: contemporary data
A statistical study of the relevance of lines of code measures in software projects
Multi-objective test prioritization via a genetic algorithm
Computer-aided discovery of formal specification behavioral requirements and requirement to implementation mappings
Mapping of improvement models as a risk reduction strategy: a theoretical comparison for the aerospace industry
Agile knowledge management: a survey of Indian perceptions
Innovations in Systems and Software Engineering : Volume 10, Issue 3, September 2014
Innovations in Systems and Software Engineering : Volume 10, Issue 2, June 2014
Innovations in Systems and Software Engineering : Volume 10, Issue 1, March 2014
Innovations in Systems and Software Engineering : Volume 9
Innovations in Systems and Software Engineering : Volume 8
Innovations in Systems and Software Engineering : Volume 7
Innovations in Systems and Software Engineering : Volume 6
Innovations in Systems and Software Engineering : Volume 5
Innovations in Systems and Software Engineering : Volume 4
Innovations in Systems and Software Engineering : Volume 3
Innovations in Systems and Software Engineering : Volume 2
Innovations in Systems and Software Engineering : Volume 1

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Multi-objective test prioritization via a genetic algorithm

Content Provider Springer Nature Link
Author Ray, Mitrabinda Mohapatra, Durga Prasad
Copyright Year 2014
Abstract It is a challenging job for the software industry to release a product with the right quality level at the right time. There are some components within a software system that are more critical to the system’s operation than others. Faults in components with high criticality are responsible directly or indirectly for causing high failure rate of the overall system compared to same faults in components with low criticality. Estimating the criticality of a component at the design level and focusing test effort per component based on the estimated criticality of the component helps to improve the reliability of a system within the available test resources. The objective is to identify the criticality level of a component at the design level and make a better test plan so that the high-critical components would be tested more completely and rigorously than other less-critical components. We first propose a method to estimate the criticality of a component within a system. The criticality estimation method is based upon design documents. We prioritize the components for testing according to their estimated criticality. Then, we present a genetic algorithm-based technique to select test cases out of a large pool of test cases. The intensity with which each component is tested is proportionate to its priority and the test suite is optimal under other constraints. We have conducted experiments to compare our scheme with a related scheme. The experimental results establish that higher reliability can indeed be achieved using our scheme.
Starting Page 261
Ending Page 270
Page Count 10
File Format PDF
ISSN 16145046
Journal Innovations in Systems and Software Engineering
Volume Number 10
Issue Number 4
e-ISSN 16145054
Language English
Publisher Springer London
Publisher Date 2014-06-05
Publisher Place London
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Reliability Component dependence diagram Test case prioritization Genetic algorithm Software Engineering Computing Methodologies Computer Applications
Content Type Text
Resource Type Article
Subject Software
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