Towards the Verbal Decision Analysis Paradigm for Implementable Prioritization of Software Requirements

Barbosa, Paulo Alberto Melo; Pinheiro, Plácido Rogério; Silveira, Francisca Raquel de Vasconcelos

doi:10.3390/a11110176

Cited by 3 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In previous work [9][10][11] we have obtained satisfactory results using VDA as a means to select and order requirements in a software development project. In order to corroborate our results of previous studies, we look for other methods to verify the efficiency proposed by this research.…”

Section: Orcon Methodologymentioning

confidence: 95%

“…In previous researches [9][10][11][12], we had good results when we compared the results generated by the Zapros III-i method concerning the SBSE methods. In these works, it was reported that the VDA method is no better than the SBSE methods, but the gain of this research is the opening of this new front in the VDA field, leaving this field as an alternative nonexistent to select and prioritize software requirements.…”

Section: Methodsmentioning

confidence: 99%

“…In earlier work in this line of research [9][10][11], we used VDA methods that used an interactive approach to correct inconsistencies. The use of the ORCON methodology is different because it works with the concepts of various methods embedded in a single user-friendly tool.…”

Section: Orcon Methodologymentioning

confidence: 99%

“…This generator produces random data, within a scale, representing four software projects. In order to compare the results of this research with previous ones [9][10][11], we try to maintain the similar mathematical formulation as follows:…”

Section: Problem Generationmentioning

confidence: 99%

“…This work follows extensive research [9][10][11] that aims to add more characteristics and improvements to a new methodology proposed to support DM. This work proposes the construction of a decision support strategy through the use of a pair of methods (different from those used in previous research how in [12]) in the area of Verbal Decision Analysis (VDA), shown in session 4.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dealing Hybrid Model Appling in the Selection and Prioritization of Software Requirements Using Verbal Decision Analysis

Barbosa¹,

Pinheiro²,

Silveira³

et al. 2020

Preprint

View full text Add to dashboard Cite

In the software development process, the decision-maker (DM) has a range of problems inherent to its function. Wrong choices during software planning can bring great risk to the project. Therefore, the planning of software releases to be delivered to the customer should be well done. This is not an easy task because releases are made up of many requirements that contain complex variables that must be considered, such as precedence, cost, requirement stability, among other features that make the requirements-selection process challenging. To make this process less exhaustive, DM can use tools that facilitate this work. In software engineering, we can find fields of research specialists in this context, such as Search-Based Software Engineering (SBSE). The SBSE makes use of advanced metaheuristics to search for optimal solutions or the closest to it. In this work, we try to use another field of research to solve this same problem type, the Verbal Decision Analysis (VDA). To do this, we elaborate a workflow that will use the same source data, execute two solutions using the two search fields (SBSE and VDA) and compare the results. In the end, we evaluated and commented on the results.

show abstract

Section: Orcon Methodologymentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Orcon Methodologymentioning

confidence: 99%

Section: Problem Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dealing Hybrid Model Appling in the Selection and Prioritization of Software Requirements Using Verbal Decision Analysis

Barbosa¹,

Pinheiro²,

Silveira³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Selection and Prioritization of Software Requirements Applying Verbal Decision Analysis

et al. 2019

View full text Add to dashboard Cite

During the software development process, the decision maker (DM) must master many variables inherent in this process. Software releases represent the order in which a set of requirements is implemented and delivered to the customer. Structuring and enumerating a set of releases with prioritized requirements represents a challenging task because the requirements contain their characteristics, such as technical precedence, the cost required for implementation, the importance that one or more customers add to the requirement, among other factors. To facilitate this work of selection and prioritization of releases, the decision maker may adopt some support tools. One field of study already known to solve this type of problem is the Search-Based Software Engineering (SBSE) that uses metaheuristics as a means to find reasonable solutions taking into account a set of well-defined objectives and constraints. In this paper, we seek to increase the possibilities of solving the Next Release Problem using the methods available in Verbal Decision Analysis (VDA). We generate a problem and submit it so that the VDA and SBSE methods try to resolve it. To validate this research, we compared the results obtained through VDA and compared with the SBSE results. We present and discuss the results in the respective sections.

show abstract

SENSE: A Flow-Down Semantics-Based Requirements Engineering Framework

2021

View full text Add to dashboard Cite

The processes involved in requirements engineering are some of the most, if not the most, important steps in systems development. The need for well-defined requirements remains a critical issue for the development of any system. Describing the structure and behavior of a system could be proven vague, leading to uncertainties, restrictions, or improper functioning of the system that would be hard to fix later. In this context, this article proposes SENSE, a framework based on standardized expressions of natural language with well-defined semantics, called boilerplates, that support a flow-down procedure for requirement management. This framework integrates sets of boilerplates and proposes the most appropriate of them, depending, among other considerations, on the type of requirement and the developing system, while providing validity and completeness verification checks using the minimum consistent set of formalities and languages. SENSE is a consistent and easily understood framework that allows engineers to use formal languages and semantics rather than the traditional natural languages and machine learning techniques, optimizing the requirement development. The main aim of SENSE is to provide a complete process of the production and standardization of the requirements by using semantics, ontologies, and appropriate NLP techniques. Furthermore, SENSE performs the necessary verifications by using SPARQL (SPIN) queries to support requirement management.

show abstract

Towards the Verbal Decision Analysis Paradigm for Implementable Prioritization of Software Requirements

Cited by 3 publications

References 33 publications

Dealing Hybrid Model Appling in the Selection and Prioritization of Software Requirements Using Verbal Decision Analysis

Dealing Hybrid Model Appling in the Selection and Prioritization of Software Requirements Using Verbal Decision Analysis

Selection and Prioritization of Software Requirements Applying Verbal Decision Analysis

SENSE: A Flow-Down Semantics-Based Requirements Engineering Framework

Contact Info

Product

Resources

About