Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering and Measurement 2012
DOI: 10.1145/2372251.2372271
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A hybrid release planning method and its empirical justification

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Cited by 8 publications
(5 citation statements)
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“…An overview of the state-of-the art in feature dependencies is given in [10]. A solution accommodating advanced feature constraints and its empirical evaluation is presented in [11].…”
Section: Release Planningmentioning
confidence: 99%
See 1 more Smart Citation
“…An overview of the state-of-the art in feature dependencies is given in [10]. A solution accommodating advanced feature constraints and its empirical evaluation is presented in [11].…”
Section: Release Planningmentioning
confidence: 99%
“…A stakeholder-centric variation of it was evaluated in [13] for the planning of an agile tool called Agilefant. In this paper, we apply ReleasePlanner with the advanced capabilities of [11] to accommodate more complex feature dependencies. This allows us to determine optimized release plans in consideration of extracted themes.…”
Section: Release Planningmentioning
confidence: 99%
“…The CCA matrix shown in Figure 6 was further analyzed. All these inconsistencies are taken as an input for the subsequent release optimization process [24]. In addition to inconsistency analysis, cost and value synergy relationships between a feature's functionality levels offered in conjunction are taken as input for optimizing release plans.…”
Section: Aoi Case Study Processmentioning
confidence: 99%
“…Optimization algorithm is utilizing the results from [24] which allow accommodating more complex constraints rather than just coupling and precedence. The additional computational complexity of this more general class of planning problems is addressed by a two-staged solution procedure combining the subsequent usage of specialized integer programming and constraint programming.…”
Section: Figure 6 Cca Analysis Of Top 10 Features and Their Functionmentioning
confidence: 99%
“…The second method is the hybrid release planning approach which relies on both human and computational intelligence to systematically generate release planning solutions. In recent years, various formal models, such as Planning Game [4], Incremental Funding Method (IFM) [5], optimizationbased techniques [6], Hybrid Intelligence approach [7,8], and Lightweight Re-planning [9], have been developed in which systematic methods are able to present several alternative solutions. In addition to these, Mohebzada [10] proposes a recommendations for release planning in which individuals play the main role to follow presented systematic instructions.…”
Section: Introductionmentioning
confidence: 99%