Goal-Oriented Requirements Engineering: A Systematic Literature Map

Horkoff, Jennifer; Aydemir, Fatma Başak; Cardoso, Evellin; Li, Tong; Maté, Alejandro; Paja, Elda; Salnitri, Mattia; Mylopoulos, John; Giorgini, Paolo

doi:10.1109/re.2016.41

Cited by 47 publications

(26 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This work is an extended version of the conference paper published in [19]. We have extended our SMS in several significant ways: we provide more information on trends in paper topics, topic distribution through paper venues, citations per paper types, citations per paper topics, dominant papers within each topic, and examine the network of paper citations.…”

Section: Introductionmentioning

confidence: 99%

Goal-oriented requirements engineering: an extended systematic mapping study

et al. 2017

Self Cite

View full text Add to dashboard Cite

Over the last two decades, much attention has been paid to the area of goal-oriented requirements engineering (GORE), where goals are used as a useful conceptualization to elicit, model, and analyze requirements, capturing alternatives and conflicts. Goal modeling has been adapted and applied to many sub-topics within requirements engineering (RE) and beyond, such as agent orientation, aspect orientation, business intelligence, model-driven development, and security. Despite extensive efforts in this field, the RE community lacks a recent, general systematic literature review of the area. In this work, we present a systematic mapping study, covering the 246 top-cited GORE-related conference and journal papers, according to Scopus. Our literature map addresses several research questions: we classify the types of papers (e.g., proposals, formalizations, meta-studies), look at the presence of evaluation, the topics covered (e.g., security, agents, scenarios), frameworks used, venues, citations, author networks, and overall publication numbers. For most questions, we evaluate trends over time. Our findings show a proliferation of papers with new ideas and few citations, with a small number of authors and papers dominating citations; however, there is a slight rise in papers which build upon past work (implementations, integrations, and extensions). We see a rise in papers concerning adaptation/variability/evolution and a slight rise in case studies. Overall, interest in GORE has increased. We use our analysis results to make recommendations concerning future GORE research and make our data publicly available.

show abstract

Section: Introductionmentioning

confidence: 99%

Goal-oriented requirements engineering: an extended systematic mapping study

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…One example for the low state of empirical evidence can be seen in the field of goal-oriented requirements engineering (GORE) with a dominance of GORE solution proposals not reflected in industrial everyday practice. Horkoff et al [41] analysed in a systematic literature review, including 966 papers published by 2016, 246 papers in detail. Out of these, 131 indicate to include a case study.…”

Section: From Conventional Wisdom To Evidencementioning

confidence: 99%

Empirical software engineering: From discipline to interdiscipline

Méndez

Passoth

2019

Journal of Systems and Software

View full text Add to dashboard Cite

Empirical software engineering has received much attention in recent years and coined the shift from a more design-science-driven engineering discipline to an insight-oriented, and theory-centric one. Yet, we still face many challenges, among which some increase the need for interdisciplinary research. This is especially true for the investigation of social, cultural and human-centric aspects of software engineering. Although we can already observe an increased recognition of the need for more interdisciplinary research in (empirical) software engineering, such research configurations come with challenges barely discussed from a scientific point of view. In this position paper, we critically reflect upon the epistemological setting of empirical software engineering and elaborate its configuration as an Interdiscipline. In particular, we (1) elaborate a pragmatic view on empirical research for software engineering reflecting a cyclic process for knowledge creation, (2) motivate a path towards symmetrical interdisciplinary research, and (3) adopt five rules of thumb from other interdisciplinary collaborations in our field before concluding with new emerging challenges. This supports to elevate empirical software engineering from a developing discipline moving towards a paradigmatic stage of normal science to one that configures interdisciplinary teams and research methods symmetrically.

show abstract

“…For this work we've used an early version of iStar 2.0 [22], an attempt to consolidate variations of the i* language. We do not believe that the specic type of goal model has much impact on creative output; iStar could be easily substituted for Tropos or GRL, or even the graphical part of KAOS (see [3] for information on other goal modeling approaches).…”

Section: Goal Modeling For Requirements Engineeringmentioning

confidence: 99%

“…In order to understand the complex space of systems requirements, including Information Systems, Requirements Engineering (RE) has often turned to conceptual models, taking advantage of their powers of abstraction, communication, and analysis. Goal models have received much attention in Requirements Email addresses: jenho@chalmers.se (J. Horko), neil.maiden.1@city.ac.uk (N. A. Maiden), david.asboth.2@city.ac.uk (D. Asboth) Engineering (RE) for system analysis and design, (e.g., [1]), including Information and Software Systems Development (e.g., [2]), due to their ability to capture and reason over alternative possible requirements, analyzing and justifying decisions via links to goals, both functional and non-functional (see [3] for a recent map of Goal-Oriented Requirements Engineering (GORE)).…”

Section: Introductionmentioning

confidence: 99%

Creative goal modeling for innovative requirements

Horkoff

Maiden

Asboth

2019

Information and Software Technology

View full text Add to dashboard Cite

Context] When determining the functions and qualities (a.k.a. requirements) for a system, creativity is key to drive innovation and foster business success. However, creative requirements must be practically operationalized, grounded in concrete functions and system interactions. Requirements Engineering (RE) has produced a wealth of methods centered around goal modeling, in order to graphically explore the space of alternative requirements, linking functions to goals and dependencies. In parallel work, creativity theories from the social sciences have been applied to the design of creative requirements workshops, pushing stakeholders to develop innovative systems. Goal models tend to focus on what is known, while creativity workshops are expensive, require a specic skill set to facilitate, and produce mainly paper-based, unstructured outputs.[Objective] Our aim in this work is to explore benecial combinations of the two areas of work in order to overcome these and other limitations, facilitating creative requirements elicitation, supported by a simple extension of a well-known and structured requirements modeling technique. [Method] We take a Design Science approach, iterating over exploratory studies, design, and summative validation studies.[Results] The result is the Creative Leaf tool and method supporting creative goal modeling for RE. [Conclusion] We support creative RE by making creativity techniques more accessible, producing structured digital outputs which better match to existing RE methods with associated analysis procedures and transformations.

show abstract

Goal-Oriented Requirements Engineering: A Systematic Literature Map

Cited by 47 publications

References 26 publications

Goal-oriented requirements engineering: an extended systematic mapping study

Goal-oriented requirements engineering: an extended systematic mapping study

Empirical software engineering: From discipline to interdiscipline

Creative goal modeling for innovative requirements

Contact Info

Product

Resources

About