By Topic

An Empirical Study on Object-Oriented Metrics and Software Evolution in Order to Reduce Testing Costs by Predicting Change-Prone Classes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Eski, S. ; Center of Res. for Adv. Technol. of Inf. & Inf. Security, TUBITAK-BILGEM, Kocaeli, Turkey ; Buzluca, F.

Software maintenance cost is typically more than fifty percent of the cost of the total software life cycle and software testing plays a critical role in reducing it. Determining the critical parts of a software system is an important issue, because they are the best place to start testing in order to reduce cost and duration of tests. Software quality is an important key factor to determine critical parts since high quality parts of software are less error prone and easy to maintain. As object oriented software metrics give important evidence about design quality, they can help software engineers to choose critical parts, which should be tested firstly and intensely. In this paper, we present an empirical study about the relation between object oriented metrics and changes in software. In order to obtain the results, we analyze modifications in software across the historical sequence of open source projects. Empirical results of the study indicate that the low level quality parts of a software change frequently during the development and management process. Using this relation we propose a method that can be used to estimate change-prone classes and to determine parts which should be tested first and more deeply.

Published in:

Software Testing, Verification and Validation Workshops (ICSTW), 2011 IEEE Fourth International Conference on

Date of Conference:

21-25 March 2011