Finding Source Code on the Web for Remix and Reuse

  • Susan Elliott Sim
  • Rosalva E. Gallardo-Valencia

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Susan Elliott Sim, Rosalva E. Gallardo-Valencia
    Pages 1-14
  3. Programmers and Practices

    1. Front Matter
      Pages 15-16
    2. Kumiyo Nakakoji, Yasuhiro Yamamoto, Yoshiyuki Nishinaka
      Pages 17-34
    3. Medha Umarji, Susan Elliott Sim
      Pages 35-52
    4. Susan Elliott Sim, Megha Agarwala, Medha Umarji
      Pages 53-77
  4. From Data Structures to Infrastructure

    1. Front Matter
      Pages 79-80
    2. Oliver Hummel, Colin Atkinson, Marcus Schumacher
      Pages 81-101
    3. Ken Krugler
      Pages 103-120
  5. Reuse: Components and Projects

    1. Front Matter
      Pages 165-166
    2. Claudia Ayala, Xavier Franch, Reidar Conradi, Jingyue Li, Daniela Cruzes
      Pages 167-186
    3. Rahul De’, Ravi A. Rao
      Pages 187-204
    4. Joel Ossher, Cristina Lopes
      Pages 205-225
  6. Remix: Snippets and Answers

    1. Front Matter
      Pages 251-252
    2. Rosalva E. Gallardo-Valencia, Susan Elliott Sim
      Pages 253-270
    3. Phitchayaphong Tantikul, C. Albert Thompson, Rosalva E. Gallardo-Valencia, Susan Elliott Sim
      Pages 271-287
    4. Ohad Barzilay, Christoph Treude, Alexey Zagalsky
      Pages 289-308
  7. Looking Ahead

    1. Front Matter
      Pages 309-310
    2. Susan Elliott Sim, Erik B. Stenberg
      Pages 311-322

About this book


In recent years, searching for source code on the web has become increasingly common among professional software developers and is emerging as an area of academic research. This volume surveys past research and presents the state of the art in the area of "code retrieval on the web." This work is concerned with the algorithms,  systems, and tools to allow programmers to search for source code on the web and the empirical studies of these inventions and practices.  It is a label that we apply to a set of related research from software engineering, information retrieval, human-computer  interaction, management, as well as commercial products. The division of code retrieval on the web into snippet remixing and component reuse is driven both by empirical data, and analysis of existing search engines and tools. Contributors include leading researchers from human-computer interaction, software engineering, programming  languages, and management.

 "Finding Source Code on the Web for Remix and Reuse" consists of five parts. Part I is titled "Programmers and Practices," and consists of a retrospective chapter and two empirical studies on how programmers search the web for source code. Part II is titled "From Data Structures to Infrastructures," and covers the creation of ground-breaking search engines for code retrieval required ingenuity in the adaptation of existing technology and in the creation of new algorithms and data structures. Part III focuses on "Reuse: Components and Projects," which are reused with minimal modification. Part IV is  on "Remix: Snippets and Answers," which examines how source code from the web can also be used as solutions to problems and answers to questions. The book concludes with Part V, "Looking Ahead," that looks at future programming and the legalities of software reuse and remix and the implications of current intellectual property law on the future of software development. The story, "Richie Boss: Private Investigator Manager," was selected as the winner of a crowdfunded short story contest."


Components Examples Human Computer Interaction Information retrieval Mashups Open source Remix Search engine Snippets Software development Software engineering Software reuse Software tools Source Code Web/Internet

Editors and affiliations

  • Susan Elliott Sim
    • 1
  • Rosalva E. Gallardo-Valencia
    • 2
  1. 1.Many Roads StudiosTorontoCanada
  2. 2.Intel CorporationSanta ClaraUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science + Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-6595-9
  • Online ISBN 978-1-4614-6596-6
  • Buy this book on publisher's site
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