NDLI: An initial study of a lightweight process for change identification and regression test selection when source code is not available

Content Provider	IEEE Xplore Digital Library
Author	Jiang Zheng Robinson, B. Williams, L. Smiley, K.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC (Jiang Zheng)
Abstract	Various regression test selection techniques have been developed and have shown to improve testing cost effectiveness via improving efficiency. The majority of these test selection techniques rely on access to source code for change identification. However, when new releases of COTS components are made available for integration and testing, source code is often not available to guide in regression test selection. In this paper we describe a lightweight integrated-black-box approach for component change identification (I-BACCI) process for selection of regression tests for user/glue code that uses COTS components. I-BACCI is applicable when component licensing agreements do not preclude binary code analysis. A case study of the process was conducted on an ABB product that uses a medium-scale internal ABB software component. Six releases of the component were examined to evaluate the efficacy of the proposed process. The result of the case study indicates that this process can reduce the required regression tests by 40% on average
Starting Page	10
Ending Page	234
File Size	158015
Page Count	225
File Format	PDF
ISBN	0769524826
ISSN	10719458
DOI	10.1109/ISSRE.2005.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Software testing Costs Binary codes Computer science Licenses Hardware Application software Large-scale systems Software libraries
Content Type	Text
Resource Type	Article

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