2023
DOI: 10.1109/access.2023.3238813
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An Empirical Study of Web Services Topics in Web Developer Discussions on Stack Overflow

Abstract: Web Services (WSs) are gaining worldwide popularity due to reliable and fast intercommunication services for the development of web and mobile applications. WSs are provided to client application developers through web Application Programming Interfaces (APIs), such as YouTube API, Twitter API, Facebook API, etc. Due to the popularity of WSs, the developers frequently discuss various WSs-based application' issues on online forums, such as Stack Overflow (SO). This study aims to highlight the problems faced by … Show more

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Cited by 8 publications
(8 citation statements)
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“…Given the broad categorization of tags on Stack Exchange, we employ LDA-based topic models to find and capture the fine-grained topics among XAI questions. In our methodology, we employed the Mallet implementation of LDA (McCallum, 2002), a method extensively applied in software engineering research due to its greater coherence score compared to the Gensim library (Abdellatif et al, 2020;Li et al, 2021;Alamin et al, 2023;Mahmood et al, 2023). The challenge of using LDA is identifying the optimal number of topics K that the LDA uses to group the posts.…”
Section: #T18mentioning
confidence: 99%
See 1 more Smart Citation
“…Given the broad categorization of tags on Stack Exchange, we employ LDA-based topic models to find and capture the fine-grained topics among XAI questions. In our methodology, we employed the Mallet implementation of LDA (McCallum, 2002), a method extensively applied in software engineering research due to its greater coherence score compared to the Gensim library (Abdellatif et al, 2020;Li et al, 2021;Alamin et al, 2023;Mahmood et al, 2023). The challenge of using LDA is identifying the optimal number of topics K that the LDA uses to group the posts.…”
Section: #T18mentioning
confidence: 99%
“…Once we have identified the most common and pressing XAI topics, the next step is to examine the types of questions XAI developers ask on technical Q&A websites. Previous studies (Rosen and Shihab, 2016;Abdellatif et al, 2020;Mahmood et al, 2023;Alamin et al, 2023) have shown that developers ask different types of questions (e.g., how, why, what). Analyzing the types of questions XAI developers ask can help us understand the nature of the challenges encountered during XAI development.…”
Section: Motivationmentioning
confidence: 99%
“…Then, we utilized spaCY Lemmatizer to reduce words to their root form, such as converting "creating" to "create." After completing the aforementioned preprocessing steps, we built a bigram model using Gensim, as bigram models have been proven to be successful in improving the quality of textual processing [30,59]. Then, we used the LDA to identify topics that are discussed within the acquired set of RN-related questions.…”
Section: Rq2mentioning
confidence: 99%
“…Then, we used the LDA to identify topics that are discussed within the acquired set of RN-related questions. To identify the optimal number of topics, we conducted multiple preliminary experiments, following the approach of related, previous studies [2,28,30,36,37,50,59,60]. We inputted 2 as the number of topics in the first experiment, and then we incremented the number of topics by 2 in each following experiment.…”
Section: Rq2mentioning
confidence: 99%
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