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Combining Top-Down and Bottom-Up Techniques in Program Derivation

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Logic-Based Program Synthesis and Transformation (LOPSTR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9527))

Abstract

The traditional stepwise refinement based program derivation methodologies are primarily top-down. Strictly following the top-down program derivation approach may require backtracking resulting in rework. Moreover, the top down approach does not directly help in suggesting the next course of action in case of a failed derivation attempt. In this work we seamlessly incorporate a bottom up assumption propagation technique into a primarily top down derivation methodology. We present new tactics for back-propagating the assumptions made during the top-down phase. These tactics help in reducing the guesswork during the derivations. We have implemented these tactics in a program derivation system. With the help of simple examples, we show how this approach is useful for avoiding backtracking thereby simplifying the derivations.

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Notes

  1. 1.

    CAPS is available at http://www.cse.iitb.ac.in/~damani/CAPS.

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Acknowledgements

The work of the first author was supported by the Tata Consultancy Services (TCS) Research Fellowship and a grant from the Ministry of Human Resource Development, Government of India.

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Authors and Affiliations

  1. Indian Institute of Technology Bombay, Mumbai, India

    Dipak L. Chaudhari & Om Damani

Authors
  1. Dipak L. Chaudhari
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  2. Om Damani
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Corresponding author

Correspondence to Dipak L. Chaudhari .

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Editors and Affiliations

  1. Università di Siena, Siena, Italy

    Moreno Falaschi

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Chaudhari, D.L., Damani, O. (2015). Combining Top-Down and Bottom-Up Techniques in Program Derivation. In: Falaschi, M. (eds) Logic-Based Program Synthesis and Transformation. LOPSTR 2015. Lecture Notes in Computer Science(), vol 9527. Springer, Cham. https://doi.org/10.1007/978-3-319-27436-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-27436-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27435-5

  • Online ISBN: 978-3-319-27436-2

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