NDLI: ORBS and the limits of static slicing

Content Provider	IEEE Xplore Digital Library
Author	Binkley, D. Gold, N. Harman, M. Islam, S. Krinke, J. Shin Yoo
Copyright Year	2015
Description	Author affiliation: Loyola Univ. Maryland, Baltimore, MD, USA (Binkley, D.) \|\| KAIST, Daejeon, South Korea (Shin Yoo) \|\| Univ. of East London, London, UK (Islam, S.) \|\| Univ. Coll. London, London, UK (Gold, N.; Harman, M.; Krinke, J.)
Abstract	Observation-based slicing is a recently-introduced, language-independent slicing technique based on the dependencies observable from program behaviour. Due to the well-known limits of dynamic analysis, we may only compute an under-approximation of the true observation-based slice. However, because the observation-based slice captures all possible dependence that can be observed, even such approximations can yield insight into the limitations of static slicing. For example, a static slice, S, that is strictly smaller than the corresponding observation based slice is potentially unsafe. We present the results of three sets of experiments on 12 different programs, including benchmarks and larger programs, which investigate the relationship between static and observation-based slicing. We show that, in extreme cases, observation-based slices can find the true minimal static slice, where static techniques cannot. For more typical cases, our results illustrate the potential for observation-based slicing to highlight limitations in static slicers. Finally, we report on the sensitivity of observation-based slicing to test quality.
Starting Page	1
Ending Page	10
File Size	454729
Page Count	10
File Format	PDF
e-ISBN	9781467375290
DOI	10.1109/SCAM.2015.7335396
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Trajectory Approximation methods Benchmark testing Algorithm design and analysis Heuristic algorithms Performance analysis Semantics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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