SPL LIFT

Author:

Bodden Eric1,Tolêdo Társis2,Ribeiro Márcio3,Brabrand Claus4,Borba Paulo2,Mezini Mira1

Affiliation:

1. Technische Universität Darmstadt, Darmstadt, Germany

2. Federal University of Pernambuco, Recife, Brazil

3. Federal University of Alagoas, Maceió, Brazil

4. IT University of Copenhagen, Copenhagen, Denmark

Abstract

A software product line (SPL) encodes a potentially large variety of software products as variants of some common code base. Up until now, re-using traditional static analyses for SPLs was virtually intractable, as it required programmers to generate and analyze all products individually. In this work, however, we show how an important class of existing inter-procedural static analyses can be transparently lifted to SPLs. Without requiring programmers to change a single line of code, our approach SPLLIFT automatically converts any analysis formulated for traditional programs within the popular IFDS framework for inter-procedural, finite, distributive, subset problems to an SPL-aware analysis formulated in the IDE framework, a well-known extension to IFDS. Using a full implementation based on Heros, Soot, CIDE and JavaBDD, we show that with SPLLIFT one can reuse IFDS-based analyses without changing a single line of code. Through experiments using three static analyses applied to four Java-based product lines, we were able to show that our approach produces correct results and outperforms the traditional approach by several orders of magnitude.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

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1. Variability-aware Neo4j for Analyzing a Graphical Model of a Software Product Line;2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS);2023-10-01

2. Family-based model checking of fMultiLTL properties;Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A;2023-08-28

3. Quantitative program sketching using decision tree-based lifted analysis;Journal of Computer Languages;2023-06

4. Annotative Software Product Line Analysis Using Variability-Aware Datalog;IEEE Transactions on Software Engineering;2023-03-01

5. Applying declarative analysis to industrial automotive software product line models;Empirical Software Engineering;2023-02-04

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