Crowd-based and data-intensive requirements engineering (RE) strategy is an approach for gathering and analyzing information from the general public or the so-called crowd to derive validated user requirements. This study aims to conceptualize the process of analyzing information from a crowd to achieve the fulfillment of user requirements. The created model is based on the ADO framework (Antecedents-Decisions-Outcomes). In the empirical part, we chose the Instagram mobile app and user feedback on it as a source of data for the validation of our approach. For extracting antecedents from user feedback, we applied the Latent Dirichlet Allocation (LDA), and then sentiment analysis was performed for each topic to prioritize the most urgent tasks delegated by the crowd. The main findings of our study reveal that using the wide spectrum of experience and knowledge of users (the wisdom of the crowd) from user opinions helps uncover different aspects that are helpful during software development. The conceptualization based on the ADO framework reflects and captures this process well. Thus, crowdsourcing is an alternative to traditional methods and techniques for requirements engineering.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.62036/isd.2024.109
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2024
