Addressing the Influence of End User Human Aspects on Software Engineering

Grundy, John; Mueller, Ingo; Madugalla, Anuradha; Khalajzadeh, Hourieh; Obie, Humphrey O.; McIntosh, Jennifer; Kanij, Tanjila

doi:10.1007/978-3-030-96648-5_11

Cited by 9 publications

(2 citation statements)

References 66 publications

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“…Moreover, a human aspect that has been discussed in recent years is the concept of human values (i.e., the guiding principles of what people consider important in life [51]), and its relationship with technology [52], [53]. Whittle et al argued for the consideration and inclusion of human values at different stages in the software development life cycle [54].…”

Section: Human Aspects In Software Developmentmentioning

confidence: 99%

Supporting Developers in Addressing Human-centric Issues in Mobile Apps

Khalajzadeh¹,

Shahin²,

Obie³

et al. 2022

Preprint

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Failure to consider the characteristics, limitations, and abilities of diverse end-users during mobile apps development may lead to problems for end-users such as accessibility and usability issues. We refer to this class of problems as human-centric issues. Despite their importance, there is a limited understanding of the types of human-centric issues that are encountered by end-users and taken into account by the developers of mobile apps. In this paper, we examine what human-centric issues end-users report through Google App Store reviews, which human-centric issues are a topic of discussion for developers on GitHub, and whether end-users and developers discuss the same human-centric issues. We then investigate whether an automated tool might help detect such human-centric issues and whether developers would find such a tool useful. To do this, we conducted an empirical study by extracting and manually analysing a random sample of 1,200 app reviews and 1,200 issue comments from 12 diverse projects that exist on both Google App Store and GitHub. Our analysis led to a taxonomy of human-centric issues that categorises human-centric issues into three-high levels: App Usage, Inclusiveness, and User Reaction. We then developed machine learning and deep learning models that are promising in automatically identifying and classifying human-centric issues from app reviews and developer discussions. A survey of mobile app developers shows that the automated detection of human-centric issues has practical applications. Guided by our findings, we highlight some implications and possible future work to further understand and incorporate human-centric issues in mobile apps development.

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Section: Human Aspects In Software Developmentmentioning

confidence: 99%

Supporting Developers in Addressing Human-centric Issues in Mobile Apps

Khalajzadeh¹,

Shahin²,

Obie³

et al. 2022

Preprint

Self Cite

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“…Software engineers are often very different from their end users, due to their differing human aspects of age, gender, culture, language proficiency, socio-economic status, technology proficiency, personality, cognitive style, emotions, physical and mental challenges, and many others [1], [2]. As a result, there are many issues related to the challenges and frustrations of software that fail to meet the needs of diverse end users, due to a lack of understanding and incorporation during software engineering of different end-user human aspects [1], primarily during Requirements Engineering (RE).…”

Section: Introductionmentioning

confidence: 99%

An Empathetic Approach to Human-Centric Requirements Engineering Using Virtual Reality

Chong,

Chu,

Nadonza

et al. 2023

2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)

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People who use software applications are different, including with significant cognitive differences such as neurodiversity. Capturing requirements for software that addresses these cognitive differences is hard for software engineers, especially when they do not have the same cognitive challenges. We wanted to explore the use of virtual reality (VR) in assisting software engineers to better understand the perspectives of the end user for the purpose of human-centric requirements elicitation, with a focus on users with attention-deficit/hyperactivity disorder (ADHD). We developed an immersive VR prototype using a virtual gym environment and fitness app as a concrete motivating example scenario. We carried out an evaluation of requirements identification for ADHD fitness app users by instructing participants to complete activities whilst under visual and auditory distractions similar to various documented symptoms of ADHD. Results indicated an increase in understanding the perspectives of someone with ADHD and an awareness of potential challenges with software not intentionally designed for ADHD users. Improved requirements for our target fitness app resulted that better take into account these diverse user needs.

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