The impacts of user review on software responsiveness: Moderating requirements uncertainty

Hsu, Jack Shih-Chieh; Chan, Chien-Lung; Liu, Julie Yu‐Chih; Chen, Houn‐Gee

doi:10.1016/j.im.2008.01.006

Cited by 41 publications

(30 citation statements)

References 45 publications

(46 reference statements)

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“…For instance, Law VII: The quality of E-type systems will appear to be declining unless they are rigorously maintained and adapted to operational environment changes, and Law VIII: E-type evolution processes constitute multi-level, multi-loop, multi-agent feedback systems and must be treated as such to achieve significant improvement for other than the most primitive process. These members (the wider community of users) interact with software systems to unearth bugs so as to maintain system quality [37]. Community-wide feedback, whether via their reporting of bugs, submission of enhancement requests through an issue tracker, or approving software requirements, also contributes to software improvements.…”

Section: Theory Of Software Evolutionmentioning

confidence: 99%

Exploring the Prevalence and Evolution of Android Concerns: A Community Viewpoint

Licorish¹

2016

JSW

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Abstract:In line with growing awareness of the need for systems to adapt quickly to change, there has been increasing interest in the evolution of software systems. Research has particularly considered developer-led activities change over time. Comparatively less consideration has been given to the study of software evolution as driven by the wider community of stakeholders. Although, a project's wider community is central to the feedback system and project success. We have contributed to such efforts and studied the evolution of architecture issues and non-functional requirements in the Android project, as identified by the wider Android community 1 . We mined the Android issues tracker, employing n-gram analysis in our examination of 21,547 issues. We observe that most architecture-related issues were located in Android application layer, and these issues increased with time. Additionally, usability-related concerns were reported most when they were held to be given greatest attention. Outcomes suggests that Android's open model and shared ownership have positively impacted Google's success, which could provide a useful lesson for other similar projects.

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Section: Theory Of Software Evolutionmentioning

confidence: 99%

Exploring the Prevalence and Evolution of Android Concerns: A Community Viewpoint

Licorish¹

2016

JSW

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“…Type of User Part. Choe, 1998(Choe, 1998 Involve users in requirement phase and design & implementation phase X Hsu, et al (Hsu, et al, 2008) Involve end users Involve in review of IS X Lin and Shao (Lin & Shao, 2000) Involve in planning, analysis, design, testing, and implementation. Type of involvement: consultation, representation, consensus Extend: consultative -> consensus X X Lynch and Gregor (Lynch & Gregor, 2004) Degree of user participation = type & depth Type: consultative (of some users) representative (reference group/testing group, selected users) consensus (working group with many users) X X X Depth: stages of the process frequency voice considered Rondeau et al (Rondeau, RaguNathan, & Vonderembse, 2006) Use cross-functional teams X Wagner and Piccoli (Wagner & Piccoli, 2007) Only involve users in topics that are important to them at that time.…”

Section: (Iii)mentioning

confidence: 99%

“…X X X X He and King (He & King, 2008) Organizational context and ISD context X Hsu et al (Hsu, et al, 2008) Changing business environment & evolving processes resulting in uncertainty X X Lin and Shao (Lin & Shao, 2000) System impact, system complexity, development methodology System impact reduces user attitude, outsourcing reduces user involvement X X Lynch and Gregor (Lynch & Gregor, 2004) Voluntary use of IS by users & Availability of knowledge with developers If users are free to choose whether to use the system, involvement is beneficial.…”

Section: (Iii)mentioning

confidence: 99%

Involving End Users to Mitigate Risk in IS Development Projects

Amrit

Hillegersberg

Diest³

2013

Journal of Organizational and End User Computing

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In this paper we aim to gain insight into the relationship between user participation modes and project risk factors, and then we construct a model that can be used to determine how user participation can be successfully applied in ISD projects with a given set of risk factors. We perform an in-depth literature review, which aims to clarify the concept of user participation as part of risk management. We then report on the results of a case study in Cap Gemini where we conduct an exploratory research of the application of user participation in practice. For this exploratory research, a quantitative and qualitative research method was designed in the form of a survey and interviews. Through the results from our case study, we gain insight into the relationship between user participation and IS project risk and also determine how user participation can be used to mitigate such risk.

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“…The consequence of poor responsiveness to customer needs in terms of defect-fixing ranges from user dissatisfaction, to unsafe software [11]. High responsiveness to defects has the potential to result not only in higher quality software, but also higher user contribution to the project.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Process Effectiveness on User Interest in Contributing to the Open Source Software Projects

Ghapanchi¹,

Aurum²,

Daneshgar³

2012

JSW

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The impacts of user review on software responsiveness: Moderating requirements uncertainty

Cited by 41 publications

References 45 publications

Exploring the Prevalence and Evolution of Android Concerns: A Community Viewpoint

Exploring the Prevalence and Evolution of Android Concerns: A Community Viewpoint

Involving End Users to Mitigate Risk in IS Development Projects

The Impact of Process Effectiveness on User Interest in Contributing to the Open Source Software Projects

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