research-article

Measuring bug complexity in object oriented software system

Authors:

R. S. Chhillar,

V. B. SinghAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 36, Issue 6

Pages 1 - 8

https://doi.org/10.1145/2047414.2047424

Published: 14 November 2011 Publication History

Abstract

Bugs are inevitable in any software development life cycle. Most bugs are detected and removed in the testing phase. In software, we can classify bugs into two categories: (1) bugs of different severity, from a user's perspective,(how much damage the bug does) and (2) bugs of different complexity(how much is the debugging time lag between detection and correction). Prior knowledge of bug distribution of different complexity can help project managers in allocating testing resources and tools. Various researchers have proposed models for determining the proportion of bugs present in software of different complexity but none of these models have been applied to object oriented software. In this paper, we have proposed a model that will determine the proportion of different bug complexity. The paper also suggests the suitability of the proposed model for a particular data set. We have taken two data sets based on object oriented methodology namely SQL for Python and SQuirreL SQL Client software developed under open source environment.

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Index Terms

Measuring bug complexity in object oriented software system
1. Software and its engineering

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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 36, Issue 6

November 2011

117 pages

ISSN:0163-5948

DOI:10.1145/2047414

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Copyright © 2011 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2011

Published in SIGSOFT Volume 36, Issue 6

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https://doi.org/10.3390/info14020081
Galindo-Losada JAyala-Tipan CSantórum MCarrión-Toro MAcosta-Vargas P(2023)WYDISWYG: A Method to Design User Interfaces Combining Design Principles and Quality FactorsElectronics10.3390/electronics1213277212:13(2772)Online publication date: 22-Jun-2023
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Arora HKumar VSahni R(2014)Study of bug prediction modeling using various entropy measures- a theoretical approachProceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization10.1109/ICRITO.2014.7014697(1-5)Online publication date: Oct-2014
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