Quality requirements, an important class of non-functional requirements, are inherently difficult to elicit. Particularly challenging is the definition of good-enough quality. The problem cannot be avoided though, because hitting the right quality level is critical. Too little quality leads to churn for the software product. Excessive quality generates unnecessary cost and drains the resources of the operating platform. To address this problem, we propose to elicit the specific relationships between software quality levels and their impacts for given quality attributes and stakeholders. An understanding of each such relationship can then be used to specify the right level of quality by deciding about acceptable impacts. The quality-impact relationships can be used to design and dimension a software system appropriately and, in a second step, to develop service level agreements that allow re-use of the obtained knowledge of good-enough quality. This paper describes an approach to elicit such quality-impact relationships and to use them for specifying quality requirements. The approach has been applied with user representatives in requirements workshops and used for determining Quality of Service (QoS) requirements based the involved users' Quality of Experience (QoE). The paper describes the approach in detail and reports early experiences from applying the approach.
{"title":"Quality requirements elicitation based on inquiry of quality-impact relationships","authors":"Farnaz Fotrousi, Samuel Fricker, M. Fiedler","doi":"10.1109/RE.2014.6912272","DOIUrl":"https://doi.org/10.1109/RE.2014.6912272","url":null,"abstract":"Quality requirements, an important class of non-functional requirements, are inherently difficult to elicit. Particularly challenging is the definition of good-enough quality. The problem cannot be avoided though, because hitting the right quality level is critical. Too little quality leads to churn for the software product. Excessive quality generates unnecessary cost and drains the resources of the operating platform. To address this problem, we propose to elicit the specific relationships between software quality levels and their impacts for given quality attributes and stakeholders. An understanding of each such relationship can then be used to specify the right level of quality by deciding about acceptable impacts. The quality-impact relationships can be used to design and dimension a software system appropriately and, in a second step, to develop service level agreements that allow re-use of the obtained knowledge of good-enough quality. This paper describes an approach to elicit such quality-impact relationships and to use them for specifying quality requirements. The approach has been applied with user representatives in requirements workshops and used for determining Quality of Service (QoS) requirements based the involved users' Quality of Experience (QoE). The paper describes the approach in detail and reports early experiences from applying the approach.","PeriodicalId":307764,"journal":{"name":"2014 IEEE 22nd International Requirements Engineering Conference (RE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127917334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Combining goal-oriented and use case modeling has been proven to be an effective method in requirements elicitation and elaboration. However, current requirements engineering approaches generally lack reliable support for automated analysis of such modeled artifacts. To address this problem, we have developed GUITAR, a tool which delivers automated detection of incorrectness, incompleteness and inconsistency between artifacts. GUITAR is based on our goal-use case integration meta-model and ontologies of domain knowledge and semantics. GUITAR also provides comprehensive explanations for detected problems and can suggest resolution alternatives.
{"title":"GUITAR: An ontology-based automated requirements analysis tool","authors":"Tuong Huan Nguyen, J. Grundy, Mohamed Almorsy","doi":"10.1109/RE.2014.6912274","DOIUrl":"https://doi.org/10.1109/RE.2014.6912274","url":null,"abstract":"Combining goal-oriented and use case modeling has been proven to be an effective method in requirements elicitation and elaboration. However, current requirements engineering approaches generally lack reliable support for automated analysis of such modeled artifacts. To address this problem, we have developed GUITAR, a tool which delivers automated detection of incorrectness, incompleteness and inconsistency between artifacts. GUITAR is based on our goal-use case integration meta-model and ontologies of domain knowledge and semantics. GUITAR also provides comprehensive explanations for detected problems and can suggest resolution alternatives.","PeriodicalId":307764,"journal":{"name":"2014 IEEE 22nd International Requirements Engineering Conference (RE)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122798261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For analysts the alignment between the requirements and the available services presents a significant challenge in service oriented paradigm. To address this challenge various technical solutions have already been proposed. Although technical issues play an important role in this selection but organizational and social factors are equally as important in selecting an optimally aligned service for a specific requirement. The users of services are mostly ignored in the alignment process. User feedback analysis has recently gained a lot of research focus, but these benefits have not been fully explored and utilized in service oriented software development. In this paper I present a method for aligning services to requirements that is designed using the Situational Method Engineering approach and it incorporates user feedback about the services. This feedback assists the analysts in extracting required information for making informed decisions while selecting services among available options that satisfies both the user requirements and customer preferences. The method is supported by a proposed tool. The method and the supporting tool will be validated by a controlled experiment and focus group feedback from the practitioners.
{"title":"Aligning services and requirements with user feedback","authors":"Muneera Bano","doi":"10.1109/RE.2014.6912301","DOIUrl":"https://doi.org/10.1109/RE.2014.6912301","url":null,"abstract":"For analysts the alignment between the requirements and the available services presents a significant challenge in service oriented paradigm. To address this challenge various technical solutions have already been proposed. Although technical issues play an important role in this selection but organizational and social factors are equally as important in selecting an optimally aligned service for a specific requirement. The users of services are mostly ignored in the alignment process. User feedback analysis has recently gained a lot of research focus, but these benefits have not been fully explored and utilized in service oriented software development. In this paper I present a method for aligning services to requirements that is designed using the Situational Method Engineering approach and it incorporates user feedback about the services. This feedback assists the analysts in extracting required information for making informed decisions while selecting services among available options that satisfies both the user requirements and customer preferences. The method is supported by a proposed tool. The method and the supporting tool will be validated by a controlled experiment and focus group feedback from the practitioners.","PeriodicalId":307764,"journal":{"name":"2014 IEEE 22nd International Requirements Engineering Conference (RE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128485564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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