Tracing SPLs precisely and efficiently

  • Authors:
  • Swarup Mohalik;S. Ramesh;Jean-Vivien Millo;Shankara Narayanan Krishna;Ganesh Khandu Narwane

  • Affiliations:
  • Global General Motors R&D, TCI, Bangalore, India;Global General Motors R&D, TCI, Bangalore, India;Global General Motors R&D, TCI, Bangalore, India;IIT Bombay, Powai, Mumbai, India;Homi Bhabha National Institute, Anushakti Nagar, Mumbai, India

  • Venue:
  • Proceedings of the 16th International Software Product Line Conference - Volume 1
  • Year:
  • 2012

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Abstract

In a Software Product Line (SPL), the central notion of implementability provides the requisite connection between specifications (feature sets) and their implementations (component sets), leading to the definition of products. While it appears to be a simple extension (to sets) of the trace-ability relation between components and features, it actually involves several subtle issues which are overlooked in the definitions in existing literature. In this paper, we give a precise and formal definition of implementability over a fairly expressive traceability relation to solve these issues. The consequent definition of products in the given SPL naturally entails a set of useful analysis problems that are either refinements of known problems, or are completely novel. We also propose a new approach to solve these analysis problems by encoding them as Quantified Boolean Formula(QBF) and solving them through Quantified Satisfiability (QSAT) solvers. The methodology scales much better than the SAT-based solutions hinted in the literature and is demonstrated through a prototype tool called SPLANE (SPL Analysis Engine), on a couple of fairly large case studies.