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Prompter

Turning the IDE into a self-confident programming assistant

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Empirical Software Engineering Aims and scope Submit manuscript

Abstract

Developers often require knowledge beyond the one they possess, which boils down to asking co-workers for help or consulting additional sources of information, such as Application Programming Interfaces (API) documentation, forums, and Q&A websites. However, it requires time and energy to formulate one’s problem, peruse and process the results. We propose a novel approach that, given a context in the Integrated Development Environment (IDE), automatically retrieves pertinent discussions from Stack Overflow, evaluates their relevance using a multi-faceted ranking model, and, if a given confidence threshold is surpassed, notifies the developer. We have implemented our approach in Prompter, an Eclipse plug-in. Prompter was evaluated in two empirical studies. The first study was aimed at evaluatingPrompter’s ranking model and involved 33 participants. The second study was conducted with 12 participants and aimed at evaluating Prompter’s usefulness when supporting developers during development and maintenance tasks. Since Prompter uses “volatile information” crawled from the web, we also replicated Study I after one year to assess the impact of such a “volatility” on recommenders like Prompter. Our results indicate that (i) Prompter recommendations were positively evaluated in 74 % of the cases on average, (ii) Prompter significantly helps developers to improve the correctness of their tasks by 24 % on average, but also (iii) 78 % of the provided recommendations are “volatile” and can change at one year of distance. While Prompter revealed to be effective, our studies also point out issues when building recommenders based on information available on online forums.

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Notes

  1. The s threshold is customizable. By default it is set to 5.

  2. Classes are identified by the unique id projectName.packageName.ClassName, methods are identified by projectName.packageName.ClassName.methodSignature

  3. http://www.clearbits.net/torrents/2141-jun-2013

  4. http://snowball.tartarus.org/

  5. http://stackoverflow.com/questions/9542987

  6. http://stackoverflow.com/questions/8204680

  7. http://stackoverflow.com/questions/13509291

  8. During the break participants did not have the chance to exchange information among them.

  9. http://stackoverflow.com/questions/11640494/

  10. http://stackoverflow.com/questions/3152138/

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Acknowledgements

Luca Ponzanelli and Michele Lanza thank the Swiss National Science foundation for the financial support through SNF Project “ESSENTIALS”, No. 153129.

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Authors and Affiliations

  1. REVEAL @ Faculty of Informatics, Università della Svizzera italiana (USI), Lugano, Switzerland

    Luca Ponzanelli & Michele Lanza

  2. Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

    Gabriele Bavota

  3. Department of Engineering, University of Sannio, Benevento, Italy

    Massimiliano Di Penta

  4. CSSC Lab - Department of Bioscience and Territory, University of Molise, Pesche (IS), Italy

    Rocco Oliveto

Authors
  1. Luca Ponzanelli
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  2. Gabriele Bavota
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  3. Massimiliano Di Penta
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  4. Rocco Oliveto
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  5. Michele Lanza
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Corresponding author

Correspondence to Luca Ponzanelli.

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Communicated by: Sung Kim and Martin Pinzger

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Ponzanelli, L., Bavota, G., Di Penta, M. et al. Prompter. Empir Software Eng 21, 2190–2231 (2016). https://doi.org/10.1007/s10664-015-9397-1

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