On the violation of honesty in mobile apps

Obie, Humphrey O.; Ilekura, Idowu; Du, Hung; Shahin, Mojtaba; Grundy, John; Li, Li; Whittle, Jon; Turhan, Burak

doi:10.1145/3524842.3527937

Cited by 9 publications

(1 citation statement)

References 39 publications

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“…They independently and manually examined a random sample of 20 ARPs from the 968 ARPs. Similar procedure (i.e., selecting a random sample of data from a large dataset and subsequent manual filtering) has also been employed in recent studies, such as [43]. To measure the inter-rater agreement between the first two authors, we calculated the Cohen's Kappa coefficient [44] and got an agreement of 0.898.…”

Section: Exclusion Criteriamentioning

confidence: 99%

Characterizing Architecture Related Posts and Their Usefulness in Stack Overflow

Dieu¹,

Peng²,

Shahin³

et al. 2023

Preprint

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Context: Stack Overflow (SO) has won the intention from software engineers (e.g., architects) to learn, practice, and utilize development knowledge, such as Architectural Knowledge (AK). But little is known about AK communicated in SO, which is a type of high-level but important knowledge in development.Objective: This study aims to investigate the AK in SO posts in terms of their categories and characteristics as well as their usefulness from the point of view of SO users. Method:We conducted an exploratory study by qualitatively analyzing a statistically representative sample of 968 Architecture Related Posts (ARPs) from SO. Results:The main findings are: (1) architecture related questions can be classified into 9 core categories, in which "architecture configuration" is the most common category, followed by the "architecture decision" category, and (2) architecture related questions that provide clear descriptions together with architectural diagrams increase their likelihood of getting more than one answer, while poorly structured architecture questions tend to only get one answer. Conclusions:Our findings suggest that future research can focus on enabling automated approaches and tools that could facilitate the search and (re)use of AK in SO. SO users can refer to our proposed guidelines to compose architecture related questions with the likelihood of getting more responses in SO.

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Section: Exclusion Criteriamentioning

confidence: 99%

Characterizing Architecture Related Posts and Their Usefulness in Stack Overflow

Dieu¹,

Peng²,

Shahin³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Automated detection, categorisation and developers’ experience with the violations of honesty in mobile apps

Obie,

Du,

Madampe

et al. 2023

Empir Software Eng

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Human values such as honesty, social responsibility, fairness, privacy, and the like are things considered important by individuals and society. Software systems, including mobile software applications (apps), may ignore or violate such values, leading to negative effects in various ways for individuals and society. While some works have investigated different aspects of human values in software engineering, this mixed-methods study focuses on honesty as a critical human value. In particular, we studied (i) how to detect honesty violations in mobile apps, (ii) the types of honesty violations in mobile apps, and (iii) the perspectives of app developers on these detected honesty violations. We first develop and evaluate 7 machine learning (ML) models to automatically detect violations of the value of honesty in app reviews from an end-user perspective. The most promising was a Deep Neural Network model with F1 score of 0.921. We then conducted a manual analysis of 401 reviews containing honesty violations and characterised honesty violations in mobile apps into 10 categories: unfair cancellation and refund policies; false advertisements; delusive subscriptions; cheating systems; inaccurate information; unfair fees; no service; deletion of reviews; impersonation; and fraudulent-looking apps. A developer survey and interview study with mobile developers then identified 7 key causes behind honesty violations in mobile apps and 8 strategies to avoid or fix such violations. The findings of our developer study also articulate the negative consequences that honesty violations might bring for businesses, developers, and users. Finally, the app developers’ feedback shows that our prototype ML-based models can have promising benefits in practice.

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Characterizing architecture related posts and their usefulness in Stack Overflow

Dieu

Liang

Shahin

et al. 2023

Journal of Systems and Software

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On the violation of honesty in mobile apps

Cited by 9 publications

References 39 publications

Characterizing Architecture Related Posts and Their Usefulness in Stack Overflow

Characterizing Architecture Related Posts and Their Usefulness in Stack Overflow

Automated detection, categorisation and developers’ experience with the violations of honesty in mobile apps

Characterizing architecture related posts and their usefulness in Stack Overflow

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