Evaluation of Requirements Models

Gralha, Catarina

doi:10.1109/re.2016.28

Cited by 4 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The GM has been paid much attention in requirements engineering and its studies are always a hot research field [19–21]. Here, we summarise the research literatures on goal modelling briefly and systematic literature is given in [1, 2].…”

Section: Related Workmentioning

confidence: 99%

Combining goal model with reviews for supporting the evolution of apps

Liu

et al. 2020

IET softw.

View full text Add to dashboard Cite

To support the iterative development process of Apps, the goal model is not only established to describe the requirements at the early stage but also used for identifying the updating strategy in every iteration. In this process, reviews from users provide valuable information for developers to analyse the model with users sentiments. In this study, the authors combine the goal model with reviews for supporting the evolution of Apps. First, the authors introduce the reviews into the goal model as a new factor by comparing keywords. Second, the users sentiments in reviews are mined, and two kinds of information are gained by analysing the model to help developers make decisions on which goals to be improved in next version: one kind of information is about users sentiments on the goals to evaluate whether users like them; another kind is the impact of updating one goal to others. To validate the proposed approach, they conducted experiments and a survey based on the Apps in Google Play. The results show that the proposed approach can establish relationships between goals and reviews reasonably and further provide useful information for optimising the evolution strategy of the App.

show abstract

Section: Related Workmentioning

confidence: 99%

Combining goal model with reviews for supporting the evolution of apps

Liu

et al. 2020

IET softw.

View full text Add to dashboard Cite

show abstract

“…Considering the experience and knowledge of the researchers that recommended these studies, as well as the relevance of the content of these documents for this survey, they were included in this extended paper: [20], [22], [23], [24], [25], [26], [27], [28]. We believe that these studies were not captured by the search engines because some of them are PhD thesis and as such would not be the indexed in different search engines used, or not be indexed at all.…”

Section: Sources Selection and Searchmentioning

confidence: 99%

An extended systematic mapping study about the scalability of i* Models

Lima

Vilela

Gonçalves

et al. 2016

CLEIej

View full text Add to dashboard Cite

i* models have been used for requirements specification in many domains, such as healthcare, telecommunication, and air traffic control. Managing the scalability and the complexity of such models is an important challenge in Requirements Engineering (RE). Scalability is also one of the most intractable issues in the design of visual notations in general: a well-known problem with visual representations is that they do not scale well. This issue has led us to investigate scalability in i* models and its variants by means of a systematic mapping study. This paper is an extended version of a previous paper on the scalability of i* including papers indicated by specialists. Moreover, we also discuss the challenges and open issues regarding scalability of i* models and its variants. A total of 126 papers were analyzed in order to understand: how the RE community perceives scalability; and which proposals have considered this topic. We found that scalability issues are indeed perceived as relevant and that further work is still required, even though many potential solutions have already been proposed. This study can be a starting point for researchers aiming to further advance the treatment of scalability in i* models.

show abstract

A proposed framework for improved software requirements elicitation process in SCRUM: Implementation by a real‐life Norway‐based IT project

Saeeda

Dong

Wang

et al. 2020

J Software Evolu Process

View full text Add to dashboard Cite

Software requirement engineering (SRE) is the initial stage of the software engineering process and entails several challenges relating to the identification, implementation, evolution, and management of requirements for the development of software systems that meet the desired functionality quality standards. Agile software development (ASD) is a well‐known software development process that follows a lightweight and adaptive methodology to support the incremental development of software systems. Since the ASD follows an adaptive procedure (ie, a flexible, nanostructured, and dynamic approach) of software development, it becomes challenging to perform SRE that follows a structured approach for managing software requirements throughout the life cycle of software development. The primary challenges for SRE, while pursuing an ASD, include, but are not limited to, identification of incomplete requirements, implementation of vague requirements, prioritization of secondary functional requirements, and compromise on users' involvement that negatively impacts the software system's functionality and quality. To overcome these challenges, some of the recent research efforts have focused on managing different phases of SRE during software development using the ASD. However, there is a lack of solutions that provide software engineers/practitioners with a solution. Besides, frameworks to effectively manage all the phases of SRE as per the needs of the ASD are needed. We propose a framework that unifies joint requirements document (JRD) and SCRUM to incrementally (a) identify, (b) implement, (c) evolve, and (d) manage system requirements throughout the software development cycle. We have used the action research method to qualitatively validate the proposed framework based on data and user requirements collected from a product‐focused (multinational) Norway‐based software company. The results of the validation are based on statistical analysis that reflects the usefulness of the proposed framework for SRE in ASD‐based software engineering and development. Future research is the possible application of a machine learning approach (es) in the intended context for agile requirements elicitations.

show abstract

Evaluation of Requirements Models

Cited by 4 publications

References 30 publications

Combining goal model with reviews for supporting the evolution of apps

Combining goal model with reviews for supporting the evolution of apps

An extended systematic mapping study about the scalability of i* Models

A proposed framework for improved software requirements elicitation process in SCRUM: Implementation by a real‐life Norway‐based IT project

Contact Info

Product

Resources

About