SEAL: Integrating Program Analysis and Repository Mining

Author:

Sattler Florian1ORCID,Böhm Sebastian1ORCID,Schubert Philipp Dominik2ORCID,Siegmund Norbert3ORCID,Apel Sven1ORCID

Affiliation:

1. Saarland University, Germany

2. Paderborn University, Germany

3. Leipzig University, Germany

Abstract

Software projects are complex technical and organizational systems involving large numbers of artifacts and developers. To understand and tame software complexity, a wide variety of program analysis techniques have been developed for bug detection, program comprehension, verification, and more. At the same time, repository mining techniques aim at obtaining insights into the inner socio-technical workings of software projects at a larger scale. While both program analysis and repository mining have been successful on their own, they are largely isolated, which leaves considerable potential for synergies untapped. We present SEAL, the first integrated approach that combines low-level program analysis with high-level repository information. SEAL maps repository information, mined from the development history of a project, onto a low-level intermediate program representation, making it available for state-of-the-art program analysis. SEAL’s integrated approach allows us to efficiently address software engineering problems that span multiple levels of abstraction, from low-level data flow to high-level organizational information. To demonstrate its merits and practicality, we use SEAL to determine which code changes modify central parts of a given software project, how authors interact (indirectly) with each other through code, and we demonstrate that putting static analysis’ results into a socio-technical context improves their expressiveness and interpretability.

Funder

Heinz Nixdorf Foundation and the German Research Foundation (DFG) within the Collaborative Research Center 901 “On-The-Fly Computing”

Collaborative Research Center TRR 248 “Perspicuous Computing”

“Pervolution”

“Green Configuration”

“Congruence”

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference64 articles.

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2. A few billion lines of code later

3. Shawn Bohner and Robert Arnold. 1996. Software Change Impact Analysis. IEEE.

4. Coordination Breakdowns and Their Impact on Development Productivity and Software Failures

5. Socio-technical congruence

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