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Auflistung nach Schlagwort "Stack Overflow"

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  • Konferenzbeitrag
    Improving the Search for Architecture Knowledge in Online Developer Communities
    (Software Engineering and Software Management 2019, 2019) Soliman, Mohamed; Rekaby, Amr; Galster, Matthias; Zimmermann, Olaf; Riebisch, Matthias
    When architecting a software system, software engineers search for architectural solutions (e.g. technologies), which fulfill certain requirements. Current approaches for architecture knowledge repositories facilitate learning about different architectural solutions. Nevertheless, the rapid and continuous increase of solution alternatives makes it challenging to manually acquire architecture knowledge and to ensure that this knowledge is up to date. Our goal in this paper is to improve how software engineers search for architecturally relevant information in online developer communities. We developed a new search approach for architecturally relevant information using Stack Overflow as an example of an online developer community. Our search approach differs from a conventional keyword-based search in that it considers semantic information of architecturally relevant concepts in Stack Overflow. We implemented the search approach as a web-based search engine. To show the effectiveness of the search approach compared to a conventional keyword-based search, we conducted an experiment with 16 practitioners. To ensure realism of the experiment, tasks given to practitioners are based on real scenarios identified in a separate interview study. The experiment showed that the new search approach significantly outperforms a conventional keyword-based search. The full paper of this extended Abstract has been published in [So18].
  • ConferencePaper
    What Kind of Questions Do Developers Ask on Stack Overflow? A Comparison of Automated Approaches to Classify Posts Into Question Categories
    (Software Engineering 2021, 2021) Beyer, Stefanie; Macho, Christian; Di Penta, Massimiliano; Pinzger, Martin
    This paper has been published in the Journal Empirical Software Engineering, 2020. Stack Overflow (SO) is among the most popular question and answers sites used by developers. Labeling posts with tags is one of the features to facilitate searching and browsing SO posts. However, existing tags mainly refer to technological aspects but not to the purpose of a question. In this paper, we argue that tagging posts with their purpose can facilitate developers to find the posts that provide an answer to their question. We first present a harmonization of existing taxonomies of question categories, that represent the purpose of a question, into seven categories. Next, we present two approaches to automate the classification of posts into the seven question categories, one using regular expressions and one using machine learning. Evaluating both approaches on an independent test set, we found that our regular expressions outperform machine learning. Applying the regular expressions on posts related to Android app development, showed that the categories API USAGE, CONCEPTUAL, and DISCREPANCY are most frequently assigned. By integrating our approach into SO, posts could be manually tagged with our categories which would allow developers to search posts by question category.