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Detecting defects in object-oriented designs: using reading techniques to increase software quality

Authors:

Guilherme Travassos,

Michael Fredericks,

Victor R. BasiliAuthors Info & Claims

ACM SIGPLAN Notices, Volume 34, Issue 10

Pages 47 - 56

https://doi.org/10.1145/320385.320389

Published: 01 October 1999 Publication History

Abstract

Inspections can be used to identify defects in software artifacts. In this way, inspection methods help to improve software quality, especially when used early in software development. Inspections of software design may be especially crucial since design defects (problems of correctness and completeness with respect to the requirements, internal consistency, or other quality attributes) can directly affect the quality of, and effort required for, the implementation.

We have created a set of “reading techniques” (so called because they help a reviewer to “read” a design artifact for the purpose of finding relevant information) that gives specific and practical guidance for identifying defects in Object-Oriented designs. Each reading technique in the family focuses the reviewer on some aspect of the design, with the goal that an inspection team applying the entire family should achieve a high degree of coverage of the design defects.

In this paper, we present an overview of this new set of reading techniques. We discuss how some elements of these techniques are based on empirical results concerning an analogous set of reading techniques that supports defect detection in requirements documents. We present an initial empirical study that was run to assess the feasibility of these new techniques, and discuss the changes made to the latest version of the techniques based on the results of this study.

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Detecting defects in object-oriented designs: using reading techniques to increase software quality
OOPSLA '99: Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications

Inspections can be used to identify defects in software artifacts. In this way, inspection methods help to improve software quality, especially when used early in software development. Inspections of software design may be especially crucial since ...
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Software quality can be defined as the customers' perception of how a system works. Inspection is a method to monitor and control the quality throughout the development cycle. Reading techniques applied to inspections help reviewers to stay focused on ...

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Published In

cover image ACM SIGPLAN Notices

ACM SIGPLAN Notices Volume 34, Issue 10

Oct. 1999

460 pages

ISSN:0362-1340

EISSN:1558-1160

DOI:10.1145/320385

Issue’s Table of Contents

OOPSLA '99: Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
October 1999
462 pages
ISBN:1581132387
DOI:10.1145/320384
Chairmen:
Brent Hailpern
IBM T. J. Watson Research Center
,
Linda M. Northrop
Carnegie Mellon Univ., Pittsburgh, PA
,
Editor:
A. Michael Berman

Copyright © 1999 ACM.

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

Publication History

Published: 01 October 1999

Published in SIGPLAN Volume 34, Issue 10

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https://doi.org/10.1016/j.scico.2024.103140
Kumar LTummalapalli SRathi SMurthy LKrishna AMisra S(2023)Machine learning with word embedding for detecting web-services anti-patternsJournal of Computer Languages10.1016/j.cola.2023.10120775(101207)Online publication date: Jun-2023
https://doi.org/10.1016/j.cola.2023.101207
Kaur SSingh S(2023)Object Oriented Metrics Based Empirical Model for Predicting “Code Smells” in Open Source SoftwareJournal of The Institution of Engineers (India): Series B10.1007/s40031-022-00833-4104:1(241-257)Online publication date: 3-Jan-2023
https://doi.org/10.1007/s40031-022-00833-4
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