PUMConf: a tool to configure product specific use case and domain models in a product line

Hajri, Ines; Göknil, Arda; Briand, Lionel C.; Stephany, Thierry

doi:10.1145/2950290.2983935

Cited by 13 publications

(13 citation statements)

References 20 publications

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“…The algorithm of checkPriorDecisionConsistency was developed as part of our configurator, PUMConf , described in our previous work ( Hajri et al, 2016a( Hajri et al, , 2016b. The algorithm is based on mapping variation points, use cases and variant dependencies to propositional logic formulas.…”

Section: Decision Idmentioning

confidence: 99%

“…We have implemented our change impact analysis approach as an extension of PUMConf (Product line Use case Model Configurator) ( Hajri et al, 2016b ). PUMConf has been developed as an IBM DOORS Plug-in.…”

Section: Tool Supportmentioning

confidence: 99%

“…In order to model variability in use case specifications, we introduced new product line extensions for the Restricted Use Case Modeling method (RUCM) ( Yue et al, 2013 ). We developed a use case-driven configuration approach ( Hajri et al, 2016a( Hajri et al, , 2016b ) based on PUM. Our configuration approach supports guiding stakeholders in making configuration decisions (e.g., checking consistency of a decision with prior decisions) and automatically generating PS use case models from the PL models and configuration decisions.…”

Section: Introductionmentioning

confidence: 99%

“…Our configuration approach supports guiding stakeholders in making configuration decisions (e.g., checking consistency of a decision with prior decisions) and automatically generating PS use case models from the PL models and configuration decisions. It is supported by a tool, PUMConf (Product line Use case Model Configurator) ( Hajri et al, 2016b ).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Change Impact Analysis for Evolving Configuration Decisions in Product Line Use Case Models

Hajri

Göknil

Briand

et al. 2019

2019 IEEE/ACM 10th International Symposium on Software and Systems Traceability (SST)

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Product Line Engineering is becoming a key practice in many software development environments where complex systems are developed for multiple customers with varying needs. In many business contexts, use cases are the main artifacts for communicating requirements among stakeholders. In such contexts, Product Line (PL) use cases capture variable and common requirements while use case-driven configuration generates Product Specific (PS) use cases for each new customer in a product family. In this paper, we propose, apply, and assess a change impact analysis approach for evolving configuration decisions in PL use case models. Our approach includes: (1) automated support to identify the impact of decision changes on prior and subsequent decisions in PL use case diagrams and (2) automated incremental regeneration of PS use case models from PL use case models and evolving configuration decisions. Our tool support is integrated with IBM Doors. Our approach has been evaluated in an industrial case study, which provides evidence that it is practical and beneficial to analyze the impact of decision changes and to incrementally regenerate PS use case models in industrial settings.

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Section: Decision Idmentioning

confidence: 99%

Section: Tool Supportmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Change Impact Analysis for Evolving Configuration Decisions in Product Line Use Case Models

Hajri

Göknil

Briand

et al. 2019

2019 IEEE/ACM 10th International Symposium on Software and Systems Traceability (SST)

Self Cite

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“…We implemented our approach as an extension of PUMConf [24] which has been developed as an IBM DOORS Plug-in. PUMConf uses GATE (http://gate.ac.uk/), an open source NLP framework, to annotate PL use case specifications to be used for (re)configuring PS use case specifications.…”

Section: Tool Supportmentioning

confidence: 99%

Incremental Reconfiguration of Product Specific Use Case Models for Evolving Configuration Decisions

Hajri

Göknil

Briand

et al. 2017

Requirements Engineering: Foundation for Software Quality

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Abstract. [Context and motivation]Product Line Engineering (PLE) is increasingly common practice in industry to develop complex systems for multiple customers with varying needs. In many business contexts, use cases are central development artifacts for requirements engineering and system testing. In such contexts, use case configurators can play a significant role to capture variable and common requirements in Product Line (PL) use case models and to generate Product Specific (PS) use case models for each new customer in a product family. [Question/Problem] Although considerable research has been devoted to use case configurators, little attention has been paid to supporting the incremental reconfiguration of use case models with evolving configuration decisions.[Principal ideas/results] We propose, apply, and assess an incremental reconfiguration approach to support evolving configuration decisions in PL use case models. PS use case models are incrementally reconfigured by focusing only on the changed decisions and their side effects. In our prior work, we proposed and applied Product line Use case modeling Method (PUM) to support variability modeling in PL use case diagrams and specifications. We also developed a use case configurator, PUMConf, which interactively collects configuration decisions from analysts to generate PS use case models from PL models. Our approach is built on top of PUM and PUMConf.[Contributions] We provide fully automated tool support for incremental configuration as an extension of PUMConf. Our approach has been evaluated in an industrial case study in the automotive domain, which provided evidence it is practical and beneficial.

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Modeling data protection and privacy: application and experience with GDPR

et al. 2021

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PUMConf: a tool to configure product specific use case and domain models in a product line

Cited by 13 publications

References 20 publications

Change Impact Analysis for Evolving Configuration Decisions in Product Line Use Case Models

Change Impact Analysis for Evolving Configuration Decisions in Product Line Use Case Models

Incremental Reconfiguration of Product Specific Use Case Models for Evolving Configuration Decisions

Modeling data protection and privacy: application and experience with GDPR

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