Knowledge tools to organise software engineering Data: Development and validation of an ontology based on ECSS standard

Brun, Ricardo Eíto; Gómez-Berbís, Juan Miguel; Seco, Antonio de Amescua

doi:10.1016/j.asr.2022.04.052

Cited by 9 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many software industries have turned their attentions to environmental preservation and management evolution as a crucial area to remain competitive in the global challenge [60]. The machining processes to be coefficient have been subject to norms and limitations set by various governments and bodies [61]. Environmental management system installation has a significant impact on operational strategy in a variety of areas, including software development planning, architectural designing, implementation, operations policies, and logistics.…”

Section: Green Approachmentioning

confidence: 99%

LAGSSE: An Integrated Framework for the Realization of Sustainable Software Engineering

Zada,

Shahzad,

Alatawi

et al. 2023

Preprint

View full text Add to dashboard Cite

Sustainable software development, deployment, and usage will minimize the burden on the economy, environment, and technology along with having positive effects on human beings, and society. Green and Sustainable Software Engineering processes, principles, and practices provide the basis for sustainable software development. However, the continually increasing customer choices and requirements, environmental concerns, and competition among software development industries demand for the availability of reliable and complete sustainable software development approaches to develop lifelong sustainable software. This paper presents a sustainable software engineering framework, named as LAGSSE, by integrating the Agile, Lean and Green approaches. The framework is based on the “OntoSuSD” ontology to represent the diverse Agile, Lean and Green approaches for achieving the software sustainability dimensions, goals, and enablers. The proposed framework is validated using the Delphi method using the expert opinion scenario which has proved LAGSSE as an efficient framework for supporting sustainable software development. The LAGSSE framework is aimed to facilitate the software developers, academia, experts, and policy makers in the software industry, institutions, and government to make policies and develop sustainable software products according to their software sustainability goals and requirements.

show abstract

Section: Green Approachmentioning

confidence: 99%

LAGSSE: An Integrated Framework for the Realization of Sustainable Software Engineering

Zada,

Shahzad,

Alatawi

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The important ones to highlight are Capability Maturity Model Integration for Software (CMMI‐SW), 30 ontology using knowledge represented in SWEBOK, 41 and software process ontology providing conceptual level representation of basic software processes and could be extended to develop ontologies for modeling particular software development processes and ontology for modeling unified basic concepts for process capability models 28,29 . Eito‐Brun 42 has developed ontology for managing data and artifacts generated in the aerospace software development projects based on the ECSS‐E‐ST‐40C. The ontology represents data and relationships from the standard requirements and provided foundation for creating advanced information systems by integrating data into a coherent set coming from different projects and provides a conceptual framework for exchanging data and processes between tools and information systems used in the aerospace industry.…”

Section: Literature Reviewmentioning

confidence: 99%

OntoSuSD: Software engineering approaches integration ontology for sustainable software development

et al. 2022

View full text Add to dashboard Cite

Different software development approaches (SDAs) are developed with broad portfolios of development processes. Each of the approaches has certain exclusive principles, practices, thinking, and values, which are informally represented, implemented, and improperly institutionalized. Ontologies are developed for the representation, assessment, and adaptation of SDAs separately without having a shared terminology which may lead to terminological conflict and confusion affecting the simultaneous representation and implementation in software development industry and academia. The software engineering approaches does not consider and support sustainability as priority concern. However, the approaches have capabilities of supporting sustainable software development in different sustainability aspects. This research article aims for the designing and development of an integrated ontology of software engineering approaches (i.e., agile, lean, and green) named OntoSuSD (ontology for sustainable software development) to support sustainable software development knowledge, awareness, and implementation. The goal of OntoSuSD is to propose, design and develop a formal, generic, consistent, and shared knowledge base containing semantic terminology and description of concepts and relationships generated around the representation and implementation of lean, agile, and green approaches in software development processes, which will facilitate their simultaneous implementation and assessment for sustainable software development. The OntoSuSD is developed using practical ontology engineering methodology by reusing relevant ontologies and explicit concepts and properties are defined to fulfill knowledge requirements and representations of the domain.The OntoSuSD is evaluated, and results infer OntoSuSD has high ontological design, good domain coverage, potential applications and achieves purpose of the ontology development.

show abstract

“…At the same time, network planning optimization problems are very complex, making it difficult to achieve multi-objective network optimization goals through a single algorithm. Moreover, existing MOO methods also have low convergence and uneven distribution of optimal solutions [3]. Therefore, to solve the multi-objective conflict problem in software engineering supervision network optimization, a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is studied for optimization.…”

Section: Introductionmentioning

confidence: 99%

Improved Multi-objective Particle Swarm Optimization in Software Engineering Supervision

Yue,

Wang

2024

Decis. Mak. Appl. Manag. Eng.

View full text Add to dashboard Cite

In the 21st century, the software industry has achieved great development. The development complexity and volume of software projects are also continuously increasing. The design of software engineering supervision network plans is becoming increasingly important. In response to the poor optimization performance and poor convergence and distribution of optimal solutions in existing network planning algorithms, the Pareto optimal solution set construction method, global extremum selection method, and fitness value determination method of multi-objective particle swarm optimization algorithm are improved to enhance the convergence and distribution of the algorithm. Traditional methods only optimize one or two objectives of network planning, resulting in inconsistency with actual engineering. A multi-objective model based on resources, duration, cost, and quality is established for comprehensive optimization. Based on the results, the Pareto optimal solution curves obtained by the proposed algorithm on three classic test functions are consistent with the actual theoretical Pareto frontier curves. The proposed method is applied to engineering project examples. 10 solutions that meet the schedule requirements are obtained. Most engineering projects have a quality of over 80%, which verifies the practicality of the algorithm. The algorithm has achieved good results in optimizing engineering quality. Therefore, this model has the ability to consider various indicators such as resources and costs to obtain software engineering quality improvement plans. It has certain application potential.

show abstract

Knowledge tools to organise software engineering Data: Development and validation of an ontology based on ECSS standard

Cited by 9 publications

References 18 publications

LAGSSE: An Integrated Framework for the Realization of Sustainable Software Engineering

LAGSSE: An Integrated Framework for the Realization of Sustainable Software Engineering

OntoSuSD: Software engineering approaches integration ontology for sustainable software development

Improved Multi-objective Particle Swarm Optimization in Software Engineering Supervision

Contact Info

Product

Resources

About