Eliciting user requirements using Appreciative inquiry

Gonzales, Carol K.; Leroy, Gondy

doi:10.1007/s10664-011-9156-x

Cited by 22 publications

(19 citation statements)

References 30 publications

(40 reference statements)

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“…The technique although also brings futuristic, unique and forward looking requirements but it is not optimized for that. AI is built primarily to elicit end-user requirements without putting much attention on surfacing the futuristic requirements and drilling into finer details for unearthing low level requirements [2]. The previous study also highlighted inadequacy of brainstorming technique for finding answers to questions [8], where A[ showed improvement in comparison.…”

Section: Unresolved Issues In A[mentioning

confidence: 99%

“…Appreciative Inquiry (AI) is an elicitation technique recently proposed by [8]. The major case and premise behind adoption of AI resides in the fact that the organizations want to develop and build on previous success in an incremental manner.…”

Section: B Appreciative Inquirymentioning

confidence: 99%

“…The use of AI was made successfully in comparison with one of the most established elicitation technique, 'brainstorming'. The results from empirical investigation indicated that A[ provided more and futuristic requirements as compared to Brainstorming [8].…”

Section: B Appreciative Inquirymentioning

confidence: 99%

“…Although the empirical evidence affirmed its ability of surfacing futuristic requirements yet there are still some improvements that could be made [8].…”

Section: Unresolved Issues In A[mentioning

confidence: 99%

“…Eliciting futuristic requirements in an efficient manner consists of envisioning the potential of a business without exaggeration [2]. Eliciting valuable end-user and futuristic requirements is a daunting task.…”

Section: Introductionmentioning

confidence: 99%

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Eliciting futuristic end-user requirements through contributory appreciative inquiry

Gill

Zaidi

Kiani

2014

2014 National Software Engineering Conference

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The phase of requirements elicitation is specifically important due to its widespread impact on the succeeding phases of software development. Elicitation of requirements from varying perspectives is an active research issue concerning the researchers and practitioners for decades. The aim of this research study is to strengthen and optimize the elicitation of 'futuristic requirements' by proposing a technique named as, 'Contributory Appreciative Inquiry'. The technique is based on philosophy of appreciative perspective rather than deficit based perspective. The technique along with various constituents and building components is presented. Afterwards a comprehensive comparative analysis is conducted to evaluate its performance in comparison to other competing techniques. Results indicate a marked improvement in eliciting futuristic and unique requirements as compared to Observation, Interviewing, Brainstorming and Appreciative Inq uiry itself.

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Section: Unresolved Issues In A[mentioning

confidence: 99%

Section: B Appreciative Inquirymentioning

confidence: 99%

Section: B Appreciative Inquirymentioning

confidence: 99%

“…Although the empirical evidence affirmed its ability of surfacing futuristic requirements yet there are still some improvements that could be made [8].…”

Section: Unresolved Issues In A[mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Eliciting futuristic end-user requirements through contributory appreciative inquiry

Gill

Zaidi

Kiani

2014

2014 National Software Engineering Conference

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Appreciative Inquiry

Walker

2023

Springer Texts in Education

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Using the Nominal Group Technique: how to analyse across multiple groups

McMillan

Kelly

Sav

et al. 2014

Health Serv Outcomes Res Method

223

242

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The nominal group technique (NGT) is a method to elicit healthcare priorities. Yet, there is variability on how to conduct the NGT, and limited guidance on how to analyse a diverse sample of multiple groups. This paper addresses some of this ambiguity, and explores whether different approaches to analysis provide the same outcome/s. Conceptual papers and empirical studies were identified via PubMed and informed an adapted version of the NGT. Twenty-six nominal groups were conducted, which provided in-depth knowledge on how to best conduct this method. Pilot group data were used to compare different analysis methods and to explore how this impacted on reported outcomes. Data analyses for large data-sets are complex; thematic analysis is needed to be able to conduct across group comparisons of participant priorities. Consideration should be given not just to the strength, i.e. sum of votes, or relative importance of the priority, but to the voting frequency, i.e. the popularity of the idea amongst participants; our case study demonstrated that this can affect priority rankings for those ideas with the same score. As a case study, this paper provides practical information on analysis for complex data sets. Researchers need to consider more than one analysis process to ensure that the results truly reflect participant priorities. A priority that has a high score may not necessarily reflect its popularity within the group; the voting frequency may also need to be considered

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Eliciting user requirements using Appreciative inquiry

Cited by 22 publications

References 30 publications

Eliciting futuristic end-user requirements through contributory appreciative inquiry

Eliciting futuristic end-user requirements through contributory appreciative inquiry

Appreciative Inquiry

Using the Nominal Group Technique: how to analyse across multiple groups

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