How Can Human Values Be Addressed in AgileMethods A Case Study on SAFe

Hussain, Waqar; Shahin, Mojtaba; Hoda, Rashina; Whittle, Jon; Perera, Hemamali; Nurwidyantoro, Arif; Shams, Rifat Ara; Oliver, Gillian

doi:10.1109/tse.2022.3140230

Cited by 18 publications

(9 citation statements)

References 79 publications

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“…Our presentation of the findings follows a style common to reporting the findings of similar case studies in software engineering, e.g. [6], [63]. Details on the data collection and analysis are presented in sections 3.2 and 3.3.…”

Section: Methodsmentioning

confidence: 99%

“…To ensure a systematic and rigorous research process, we employed a range of quality assurance procedures. In the following, we review some of the study's potential limitations in relation to the quality criteria of credibility, transferability, and confirmability [84] that is much used in interpretive and constructivist qualitative research, including in the software engineering field, e.g., [63], [86].…”

Section: Limitations and Evaluationmentioning

confidence: 99%

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A Taxonomy of Inter-Team Coordination Mechanisms in Large-Scale Agile

Berntzen

Hoda

Moe

et al. 2023

IIEEE Trans. Software Eng.

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In large-scale agile software development, many teams work together to achieve overarching project goals. The more teams, the greater the coordination requirements. Despite the growing popularity of large-scale agile, inter-team coordination is challenging to practice and research. We conducted a case study over 1.5 years in a large-scale software development firm to better understand which inter-team coordination mechanisms are used in large-scale agile and how they support inter-team coordination. Based on a thematic analysis of 31 interviews, 113 hours of observations, and supplemental material, we identified 27 inter-team coordination mechanisms. From this, we offer the following contributions. First, we propose a taxonomy of interteam coordination with three categories: coordination meetings, such as communities of practice, inter-team stand-ups, and retrospectives; coordination roles, such as the program architects and the platform team; and coordination tools and artefacts, such as Slack and JIRA as well as inter-team task boards, product backlogs, and roadmaps. Second, the coordination mechanisms displayed combinations of four key characteristics, technical, organizational, physical, and social (TOPS), which form the basis of the TOPS framework to capture the multifaceted characteristics of coordination mechanisms. Technical relates to the software product and/or technical tools supporting software development. Organizational pertains to the structural aspects of the organization. Physical refers to tangible or spatial characteristics. Social captures interpersonal and community-based characteristics. Finally, the taxonomy and the TOPS framework provide a knowledge base and a structured approach for researchers to study as well as for software practitioners to understand and improve inter-team coordination in large-scale agile.

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Section: Methodsmentioning

confidence: 99%

Section: Limitations and Evaluationmentioning

confidence: 99%

A Taxonomy of Inter-Team Coordination Mechanisms in Large-Scale Agile

Berntzen

Hoda

Moe

et al. 2023

IIEEE Trans. Software Eng.

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“…implementation). For example, Hussain et al have identified several places to introduce values throughout the software development phases in the SAFe Agile framework (Hussain et al 2022). In addition, these works proposed solutions as methods or frameworks.…”

Section: Solutions To Integrate Values In Softwarementioning

confidence: 99%

Integrating human values in software development using a human values dashboard

et al. 2023

Self Cite

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There is a growing awareness of the importance of human values in software systems. However, limited tools are available to support the integration of human values during software development. Most of these tools are focused on concepts related to specific, well-known human values (e.g., privacy, security) in software engineering. This paper aims to (partially) address this gap by developing a human values dashboard. We conducted a multi-stage study to design, implement and evaluate a human values dashboard. First, an exploratory study was conducted by interviewing 15 software practitioners to investigate the possibility of using a human values dashboard to help address human values in software development, its potential benefits, and required features. Second, we experimented with four Machine Learning approaches to detect the presence of human values in issue discussions. We used the best approach to develop a human values dashboard for software development. The dashboard displays whether any human values are present in each issue discussion. Finally, we interviewed ten different practitioners to investigate the usefulness of the dashboard in practice. This study found that the human values dashboard could help raise awareness, focus attention, and prioritise issues based on the presence of values. This study also identified two potential challenges to the adoption of the dashboard. First, the possible incorrect issues description that can mislead the automated values identification in the dashboard. Second, the lack of willingness of a company to adopt the dashboard.

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“…Whittle et al argued for the consideration and inclusion of human values at different stages in the software development life cycle [54]. Another study introduced a set of interventions for addressing human values in the SAFe Agile framework [55]. Other related works have proposed tools for supporting human values, e.g., a human values dashboard for software development [56], values Q-sort -an instrument for capturing the values of software engineers [57], and algorithms for detection the violation of values in Android APIs [16].…”

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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How Can Human Values Be Addressed in AgileMethods A Case Study on SAFe

Cited by 18 publications

References 79 publications

A Taxonomy of Inter-Team Coordination Mechanisms in Large-Scale Agile

A Taxonomy of Inter-Team Coordination Mechanisms in Large-Scale Agile

Integrating human values in software development using a human values dashboard

Supporting Developers in Addressing Human-centric Issues in Mobile Apps

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