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SDDNet: A Semantic Network for Software Design and Development Domain Via Graph Database

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Graph-Based Representation and Reasoning (ICCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9717))

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Abstract

When building software systems, deciding implementation details manually for specific system requirements is time consuming and often leads to sub-optimal choices. An automated, knowledge-base driven approach to select from possible technology alternatives can replace or reduce manual effort in realizing these requirements. This motivated us to develop such a knowledge system which can ultimately help in opportune and cost-effective software development. We create a rich knowledge-base by automatic extraction of useful information from a large volume of existing documentation pertaining to software components and technologies that are used to build variety of business applications. We store the knowledge-base in a graph database. A semantic network depicting relations between concepts found in Software Design and Development (SDD) domain is constructed from the database. This knowledge-base can be queried for deducing additional facts about the concepts stored therein.

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Notes

  1. 1.

    Well-known discussion forum.

  2. 2.

    FP- Those sentences which were falsely classified as belonging to SDD domain. FN- Those sentences which were falsely classified as not belonging to SDD domain.

  3. 3.

    We make use of FuzzyWuzzy [10] and Wordnet [7] to avoid loss of relations similar (but not exactly same) to some relation in \(\varPsi \).

  4. 4.

    All those entities for which we could not obtain any concept from Wikipedia we assign them a default concept - Undefined \(\_\) Concept.

  5. 5.

    view from abstract concept to its realization.

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Authors and Affiliations

  1. Indian Institute of Technology Ropar, Rupnagar, 140001, India

    Shipra Sharma & Balwinder Sodhi

Authors
  1. Shipra Sharma
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  2. Balwinder Sodhi
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Corresponding author

Correspondence to Shipra Sharma .

Editor information

Editors and Affiliations

  1. Université Toulouse, Toulouse, France

    Ollivier Haemmerlé

  2. University of Brighton, Brighton, United Kingdom

    Gem Stapleton

  3. Université Nice Sophia Antipolis, Nice, France

    Catherine Faron Zucker

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Sharma, S., Sodhi, B. (2016). SDDNet: A Semantic Network for Software Design and Development Domain Via Graph Database. In: Haemmerlé, O., Stapleton, G., Faron Zucker, C. (eds) Graph-Based Representation and Reasoning. ICCS 2016. Lecture Notes in Computer Science(), vol 9717. Springer, Cham. https://doi.org/10.1007/978-3-319-40985-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-40985-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40984-9

  • Online ISBN: 978-3-319-40985-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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