Creating Quantitative Goal Models: Governmental Experience

Akhigbe, Okhaide; Alhaj, Mohammad; Amyot, Daniel; Badreddin, Omar; Braun, Edna; Cartwright, Nick; Richards, Gregory; Mussbacher, Gunter

doi:10.1007/978-3-319-12206-9_40

Cited by 17 publications

(10 citation statements)

References 22 publications

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“…For quantitative aspects, such as weights on contribution links, the Analytical Hierarchy Process (AHP) technique [41] has recently been used to take into consideration the opinions of many stakeholders, through surveys based on pairwise comparisons. The literature reports on experiences with AHP for i* [33], the NFR framework [29], GRL [1], and a proprietary goal modeling language [47]. Our validation approach is original in its use of empirical data through surveys and of statistical analysis, and it is complementary to the approaches discussed above.…”

Section: Comparison With Related Workmentioning

confidence: 97%

“…One possible mapping (which is implemented in jUCMNav [26], an Eclipse-based tool that supports GRL modeling) is depicted in Table 2. Since you do not agree with the statement: "The weight of the help contribution is initially evaluated to 25 on a [1,49] scale (1 being the lowest value, 49 being the highest value)", please provide us with an alternative weight: In this case, there is no need for a contingency question since options 1, 2, 4, and 5 (representing negative responses) provide insights toward the possible fixes of the contribution weight. Similarly, we can validate quantitative contributions expressed as interval ranges.…”

Section: Quantitative Contributionsmentioning

confidence: 99%

“…Since you do not agree with the statement: "Task1 and Task2 help equally the realization of Goal1", please provide us with appropriate weights (within [1,49] interval) for:…”

Section: Contingency Questionmentioning

confidence: 99%

“…For a description of the One-way ANOVA test, the reader is invited to consult our previous work [15]. 1 Release 16.0.…”

Section: Analysis Of the Conflict Detection Survey Datamentioning

confidence: 99%

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An empirical approach toward the resolution of conflicts in goal-oriented models

Hassine

Amyot

2015

Softw Syst Model

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One significant problem requirements engineers have to cope with is the management of unclear requirements, ambiguities, and conflicts that may arise between stakeholders. Such issues may be desirable since they may allow for further elicitation of requirements that would have been missed otherwise. Goal models capture the objectives and other intentions of different stakeholders, together with their relationships. They can be used to refine unclear requirements and to detect conflicts and ambiguities early during model validation. However, resolving such ambiguities and conflicts is key for the successful implementation of the goal models. In this paper, we propose a novel approach to validate models in the Goal-oriented Requirement Language and resolve conflicts between the perspectives of intervening stakeholders (and especially between stakeholders of a given group). Our approach is based on a statistical analysis of empirical data that we collect from surveys designed for each group of stakeholders. We apply concept analysis in order to fix goal-model artifacts that are subject to conCommunicated by Prof. Ketil Stølen. flict. We illustrate our approach using a case study of a goal model describing the involvement of undergraduate students in university research activities.

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Section: Comparison With Related Workmentioning

confidence: 97%

Section: Quantitative Contributionsmentioning

confidence: 99%

“…Since you do not agree with the statement: "Task1 and Task2 help equally the realization of Goal1", please provide us with appropriate weights (within [1,49] interval) for:…”

Section: Contingency Questionmentioning

confidence: 99%

“…For a description of the One-way ANOVA test, the reader is invited to consult our previous work [15]. 1 Release 16.0.…”

Section: Analysis Of the Conflict Detection Survey Datamentioning

confidence: 99%

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An empirical approach toward the resolution of conflicts in goal-oriented models

Hassine

Amyot

2015

Softw Syst Model

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“…Several group decision approaches, and techniques have been discussed in [24] that can be used to ease this challenge. We used a Round- Table Discussion and Consensus (RTD&C) approach where teams assembled in a dialog setting.…”

Section: Curriculummentioning

confidence: 99%

A New Approach for Multi-Level Evaluation of Strategic Educational Goals

Alhaj¹,

Hassan²,

Al-Refai³

2020

IJACSA

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Educational organizations with multiple level of management promotes for their strategic educational goals as a correlated and clustered data. The typical assessment and feedback approaches are paper-based where word documents and flowcharts are used to evaluate strategic educational goals augmented with quantitative indicators. Unfortunately, the paper-based approach often neglects the relationship and dependencies between the educational goals defined at different levels. This may lead to complications in the analysis, lack of clarity, and subject to different interpretations by the multiple management. We propose a multi-level model-driven approach that improves the assessment of strategic educational goals, handles the clustered data efficiently and allows the individual and group level assessment to take effect simultaneously. The approach also allows decision makers in academic institution to extract valuable information from goal models at different academic levels and measure the fulfilment of the educational goals with respect to the target performance in a formal way.

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Goal Model Integration: Advanced Relationships and Rationales Documentation

Baslyman

Amyot

2019

Lecture Notes in Computer Science

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Creating Quantitative Goal Models: Governmental Experience

Cited by 17 publications

References 22 publications

An empirical approach toward the resolution of conflicts in goal-oriented models

An empirical approach toward the resolution of conflicts in goal-oriented models

A New Approach for Multi-Level Evaluation of Strategic Educational Goals

Goal Model Integration: Advanced Relationships and Rationales Documentation

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