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A scheme to prioritize classes at the early stage for improving observable reliability

Authors:

Mitrabinda Ray,

Durga Prasad MohapatraAuthors Info & Claims

ISEC '10: Proceedings of the 3rd India software engineering conference

Pages 69 - 72

https://doi.org/10.1145/1730874.1730889

Published: 25 February 2010 Publication History

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Abstract

While testing a program using a test suite of finite size, testing the frequently used classes more thoroughly within the testing budget would lead to higher observable reliability compared to testing all classes uniformly. To achieve this, we first propose a technique to prioritize classes at the design stage according to their impact on the overall reliability of the system. The priority value for a class is calculated based on UML diagrams (Use Case and Sequence diagrams) and operational profile of the system. Then we propose a genetic algorithm-based technique to select test cases for a test suite out of a large pool of test cases such that the intensity with which each class is tested is proportionate to its priority value and the test suite is optimal under other constraints.

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Cited By

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Odeh YAl-Saiyd N(2023)Prioritizing Use Cases: A Systematic Literature ReviewComputers10.3390/computers1207013612:7(136)Online publication date: 6-Jul-2023
https://doi.org/10.3390/computers12070136
Kulamala VA. SMaru ASingla YMohapatra D(2018)Predicting Software Reliability using Computational Intelligence Techniques: A Review2018 International Conference on Information Technology (ICIT)10.1109/ICIT.2018.00033(114-119)Online publication date: Dec-2018
https://doi.org/10.1109/ICIT.2018.00033
Ray MMohapatra D(2018)Code-based prioritizationInnovations in Systems and Software Engineering10.1007/s11334-012-0186-38:4(279-292)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.1007/s11334-012-0186-3

Index Terms

A scheme to prioritize classes at the early stage for improving observable reliability
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Error handling and recovery
    2. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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Published In

ISEC '10: Proceedings of the 3rd India software engineering conference

February 2010

194 pages

ISBN:9781605589220

DOI:10.1145/1730874

General Chair:
Srinivas Padmanabhuni
SETLabs, Infosys Bangalore, India
,
Program Chairs:
Sanjeev K. Aggarwal
Indian Institute of Technology Kanpur, India
,
Umesh Bellur
Indian Institute of Technology Bombay, India

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 25 February 2010

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ISEC '10: India Software Engineering Conference

February 25 - 27, 2010

Mysore, India

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Odeh YAl-Saiyd N(2023)Prioritizing Use Cases: A Systematic Literature ReviewComputers10.3390/computers1207013612:7(136)Online publication date: 6-Jul-2023
https://doi.org/10.3390/computers12070136
Kulamala VA. SMaru ASingla YMohapatra D(2018)Predicting Software Reliability using Computational Intelligence Techniques: A Review2018 International Conference on Information Technology (ICIT)10.1109/ICIT.2018.00033(114-119)Online publication date: Dec-2018
https://doi.org/10.1109/ICIT.2018.00033
Ray MMohapatra D(2018)Code-based prioritizationInnovations in Systems and Software Engineering10.1007/s11334-012-0186-38:4(279-292)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.1007/s11334-012-0186-3

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Adaptive coverage and operational profile-based testing for reliability improvement

An experimental study of adaptive testing for software reliability assessment

Sensitivity of Two Coverage-Based Software Reliability Models to Variations in the Operational Profile

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