NDLI: Precisely Detecting Runtime Change Interactions for Evolving Software

Content Provider	IEEE Xplore Digital Library
Author	Santelices, R. Harrold, M.J. Orso, A.
Copyright Year	2010
Abstract	Developers often make multiple changes to software. These changes are introduced to work cooperatively or to accomplish separate goals. However, changes might not interact as expected or may produce undesired side effects. Thus, it is crucial for software-development tasks to know exactly which changes interact. For example, testers need this information to ensure that regression test suites test the combined behaviors of changes. For another example, teams of developers must determine whether it is safe to merge variants of a program modified in parallel. Existing techniques can be used to detect at runtime potential interactions among changes, but these reports tend to be coarse and imprecise. To address this problem, in this paper, we first present a formal model of change interactions at the code level, and then describe a new technique, based on this model, for detecting at runtime such interactions with accuracy. We also present the results of a comparison of our technique with other techniques on a set of Java subjects. Our results clearly suggest that existing techniques are too inaccurate and only our technique, of all those studied, provides acceptable confidence in detecting real change interactions occurring at runtime.
Starting Page	429
Ending Page	438
File Size	314068
Page Count	10
File Format	PDF
ISBN	9781424464357
e-ISBN	9781424464364
DOI	10.1109/ICST.2010.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Performance evaluation Java slicing Merging regression testing change analysis Interference Software performance Educational institutions program merging impact analysis Runtime
Content Type	Text
Resource Type	Article

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