Data-Driven Elicitation of Quality Requirements in Agile Companies

Oriol, Marc; Seppänen, Pertti; Behutiye, Woubshet; Farré, Carles; Kozik, Rafał; Martínez‐Fernández, Silverio; Rodríguez, Pilar; Franch, Xavier; Aaramaa, Sanja; Abherve, Antonin; Choraś, Michał; Partanen, Jari

doi:10.1007/978-3-030-29238-6_4

Cited by 9 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The framework provides a structure to organize the comprehensive representation of information technology architecture data. The project historical data is used to predict the new NFR [13], [40], [41]. The proposed NFRElicit methodology includes the role of the experts and the previous data of organization for NFR elicitation.…”

Section: Proposed Nfr Elicitation Methodologymentioning

confidence: 99%

Elicitation of Nonfunctional Requirements in Agile Development Using Cloud Computing Environment

et al. 2020

View full text Add to dashboard Cite

Nonfunctional requirements are ignored because functional requirements are considered to be more important than nonfunctional requirements, lack of knowledge and methodologies to accomplish nonfunctional requirement elicitation and the nature of agile software development process. This ignorance of nonfunctional requirements become the cause to failure of projects. Furthermore, cloud computing helps to practice twelve (12) agile principles including nonfunctional requirement elicitation. This study proposed a semi-automated methodology for eliciting nonfunctional requirement in agile development and cloud computing environment. The methodology used an NLP based automatic NFR extraction approach to fast the NFR elicitation process. The methodology is evaluated by applying on eProcurement dataset. The results are improved as compared to existing studies.

show abstract

Section: Proposed Nfr Elicitation Methodologymentioning

confidence: 99%

Elicitation of Nonfunctional Requirements in Agile Development Using Cloud Computing Environment

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The process performance SI measures the performance of an organization's software development process. Among the Solution features, the 'quality alert' feature [22] carries significance in this study, as we discuss in Section 4.1. Here, once a metric crosses a user-defined threshold, indicating violation of quality goals defined by the use-case Quality Engineers, this feature triggers a quality alert.…”

Section: Q-rapids Projectmentioning

confidence: 99%

An Empirical Investigation into Industrial Use of Software Metrics Programs

Ram

Rodríguez

Oivo

et al. 2020

Product-Focused Software Process Improvement

Self Cite

View full text Add to dashboard Cite

Practitioners adopt software metrics programs to support their software development from the perspective of either overall quality, performance, or both. Current literature details and justifies the role of a metrics program in a software organization's software development, but empirical evidence to demonstrate its actual use and concomitant benefits remains scarce. In the context of an EU H2020 Project, we conducted a multiple case study to investigate how two software-intensive Agile companies utilized a metrics program in their software development. We invited practitioners from the two case companies to report on the actual use of the metrics program, the underlying rationale, and any benefits they may have witnessed. We also collected and analyzed metrics data from multiple use cases to explain the reported use of the metrics. The analysis revealed improvements like better code review practices and formalization of quality requirements management, either as a direct consequence or as a byproduct of the use of the metrics. The contrasting contexts like company size, project characteristics, and general perspective towards metrics programs could explain why one company viewed the metrics as a trigger for their reported improvements, while the other company saw metrics as the main driver for their improvements. Empirical evidence from our study should help practitioners adopt a more favorable view towards metrics programs, who were otherwise reluctant due to lack of evidence of their utility and benefits in industrial context.

show abstract

“…CC4 is a proponent of low-level metrics, and that has proven beneficial for them. In contrast, most of the metrics used to generate quality alert [14] in CC1 are aggregated metrics. This is also the case with CC2's use of the metric to improve their practice of maintaining the DoD field in Jira.…”

Section: Rq22: What Is the Utilitarian Perspective Of An Actionable mentioning

confidence: 99%