UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

ORBS and the Limits of Static Slicing

Binkley, D; Gold, N; Harman, M; Islam, S; Krinke, J; Yoo, S; (2015) ORBS and the Limits of Static Slicing. In: Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM). (pp. pp. 1-10). IEEE: Bremen, Germany. Green open access

[thumbnail of scam15.pdf]
Preview
Text
scam15.pdf

Download (409kB) | Preview

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.

Type: Proceedings paper
Title: ORBS and the Limits of Static Slicing
Event: 15th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM)
Location: Bremen, GERMANY
Dates: 27 September 2015 - 28 September 2015
ISBN-13: 9781467375290
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/SCAM.2015.7335396
Publisher version: http://dx.doi.org/10.1109/SCAM.2015.7335396
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Interdisciplinary Applications, Engineering, Electrical & Electronic, Computer Science, Engineering
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1470412
Downloads since deposit
101Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item