Using Context for Search, Browse and Recommendation in Software Development

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 454)

Abstract

Finding information is a critical task in software development, especially when is hard to remember every piece of information that developers need to do their job. The increase in the average size of projects and in the number of technologies used makes the task of finding the right information or the right piece of code a nightmare for most developers. Tools that help developers be more efficient in finding this information need to be developed. Not only they need to be more efficient, but they also need to be more powerful, making the job of the developer easier. In this paper, we describe the SDiC (Software Development in Context) system, which implements three types of information finding: search, recommendation and browsing. The main innovation in SDiC is using the developer’s context to make more efficient these mechanisms, enabling not only a more accurate answer, but also a more efficient way in leading with the information overload. abstract environment.

Keywords

User context Search Recommendation Browsing Software development 

References

  1. 1.
    Robillard, M., Walker, R., Zimmermann, T.: Recommendation systems for software engineering. IEEE Softw. 27(4), 80–86 (2010)CrossRefGoogle Scholar
  2. 2.
    Murphy, G.C., Kersten, M., Findlater, L.: How are Java software developers using the elipse IDE? IEEE Softw. 23(4), 76–83 (2006)CrossRefGoogle Scholar
  3. 3.
    Harris, Z.: Distributional structure. Word 10(23), 146–162 (1954)Google Scholar
  4. 4.
    Antunes, B., Cordeiro, J., Gomes, P.: Context modeling and context transition detection in software development. In: Proceedings of the 7th International Conference on Software Paradigm Trends (ICSOFT 2012) (2012)Google Scholar
  5. 5.
    Antunes, B., Cordeiro, J., Gomes, P.: Context-based search in software development. In: Proceedings of the 7th Conference on Prestigious Applications of Intelligent Systems (PAIS 2012) of the 20th European Conference on Artificial Intelligence (ECAI 2012) (2012)Google Scholar
  6. 6.
    Antunes, B., Cordeiro, J., Gomes, P.: An approach to context-based recommendation in software development. In: Proceedings of the 6th ACM Conference on Recommender Systems (RecSys 2012) (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Paulo Gomes
    • 1
    • 2
  • Bruno Antunes
    • 1
    • 2
  • Bárbara Furtado
    • 1
    • 2
  1. 1.CISUC - DEIFaculdade de Ciências e Tecnologia da Universidade de CoimbraCoimbraPortugal
  2. 2.DEI - Pólo IIUniversidade de CoimbraCoimbraPortugal

Personalised recommendations