DKDOnto: An Ontology to Support Software Development with Distributed Teams

Rocha, Rodrigo Tumolin; Araújo, Arthur Silva; Cordeiro, Diogo; Ximenes, Assuero Fonseca; Teixeira, Jean; Silva, Gabriel; Silva, Daliton da; Espinhara, Diogo; Fernandes, Renan; Ambrosio, João; Duarte, Marcos Pinheiro; Azevedo, Ryan Ribeiro de

doi:10.1016/j.procs.2018.07.271

Cited by 8 publications

(7 citation statements)

References 13 publications

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“…Rocha et al [ 13 ] proposed an ontology named DKDOnto to support software development with distributed teams. The main elements of the ontology as shown in Fig.…”

Section: Related Workmentioning

confidence: 99%

“…Despite the existence of ontologies and taxonomies in the domain, none have really proposed a task allocation and coordination ontology that achieves all the objectives of this study. It can be observed from Table 1 that while some research works made use of factors namely [ 13 , 23 – 25 ], others have incorporated dependencies in the task allocation namely [ 10 , 12 ]. Both factors and dependencies influence the task allocation process [ 9 ].…”

Section: Related Workmentioning

confidence: 99%

“…Researchers are still undergoing several studies in the area and are still looking for effective solutions to solve the task coordination challenges. As mentioned by Rocha et al [ 13 ], lack of communication, management and cultural differences are the obstacles for efficient distribution of team to carry out a certain activity. Some of the challenges in task assignment are documentation, pair programming, working hours of different sites and cultural differences [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

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Task allocation and coordination process in distributed agile software development: an ontology based approach

Nagowah

2022

Inf Technol Manag

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Distributed agile software development (DASD) has gained much popularity over the past years. It relates to Agile Software Development (ASD) being executed in a distributed environment due to factors such as low development budget, emerging software application markets and the need for more expertise. DASD faces a number of challenges with respect to coordination and communication issues. Task allocation in such an environment thus becomes a challenging task. Adopting proper task allocation strategy is crucial to overcome challenges and issues in DASD. Various studies highlight the challenges being faced by DASD and have proposed solutions in the form of framework or models. Knowledge models in the form of ontologies can help to solve certain issues and challenges by providing a proper representation of data that is shareable among distributed teams. Several ontologies with respect to task allocation exist. However, ontologies incorporating factors and dependencies influencing task allocation process in DASD are limited. An ontology representing the knowledge related to task allocation and coordination is important for proper decision making in organizations. Based on an in-depth literature review and a survey conducted among professionals in industry, this paper proposes an ontology, OntoDASD , that incorporates relevant factors and dependencies to be considered in task allocation and coordination process in DASD environment. The ontology facilitates team coordination through effective communication and task allocation by defining the concepts to share knowledge and information in an appropriate way. OntoDASD has been properly evaluated and validated by professionals in the field.

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“…Rocha et al [ 13 ] proposed an ontology named DKDOnto to support software development with distributed teams. The main elements of the ontology as shown in Fig.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Task allocation and coordination process in distributed agile software development: an ontology based approach

Nagowah

2022

Inf Technol Manag

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“…This ontology establishes terms and concepts to be used across projects. There are ontologies which work with documentation activities [47, 48, 52, 53, 58], which try to create a semantic (generalised interpretation) between concepts and terms used either in Global Software Development (GSD) or DSD. Their objective is to describe GSD o DSD projects.…”

Section: Related Workmentioning

confidence: 99%

Ontology for knowledge condensation to support expertise location in the code phase during software development process

et al. 2020

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Software Development is a complex process, in which every software product is a knowledge representation of all the involved people. In agile software development, knowledge is prone to vaporise, because documentation is not a priority as indicated in the agile manifesto. This condition generates problems such as poor understanding of the requirements, knowledge transfer deficiency among developers, time wasted by developers while searching for knowledge. The objective of this work is to reduce architectural knowledge vaporisation by means of knowledge condensation to support expertise location (high-level knowledge at a given time). This through an ontology that will condensate the knowledge in the code phase. This study presents the description of an ontology development process following the Methontology Framework. Results show that the proposed ontology does not present incongruence or inconsistency and answers the competency questions correctly. The main contribution of this study is the ontology which brings several benefits such as a shared concept of the knowledge in the code phase and a way to link the artefacts (resources used by developers in the project) and the experts (artefacts provider).

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“…Para darle semántica y contexto a la búsqueda, el modelo implementa una ontología de dominio específico denominada arquitectura de software orientada a servicios 2.0 (Service-Oriented Architecture Ontology Version 2.0) (De Graaf, Tang, Liang y van Vliet, 2012). La ontología proporciona un vocabulario común a las diferentes partes interesadas (arquitectos, desarrolladores, analistas), el cual describe los recursos de información (conceptos) con suficiente detalle, sin restricciones de rango y dominio (Rocha et al, 2018), además proporciona soporte de razonamiento a las búsquedas (Paredes-Valverde et al, 2018). Además, se implementa un mecanismo de procesamiento de lenguaje natural que analiza cada una de las descripciones de los componentes (code, commits, description, issues, packages, topics, discussions, entre otros) de los repositorios para identificar los repositorios a clasificar.…”

Section: Introductionunclassified

Recuperación y clasificación de arquitecturas software en GitHub para reutilización, soportado por ontologías

Ordóñez

Buchelli

2021

Rev. Cient.

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Para definir una arquitectura de un nuevo proyecto de software es clave reutilizar componentes existentes en proyectos previos. Estos proyectos previos pueden ser de la organización o estar disponibles en internet a través de GitHub. Los componentes reutilizados permiten tomar decisiones arquitecturales y así economizar tiempo y recursos. Sin embargo, actualmente buscar componentes de software en GitHub es ineficiente, pues las búsquedas son por cadenas de texto. En este trabajo se presenta OntoGitHubSearch como un modelo de búsqueda que permite la recuperación y clasificación de arquitecturas de software almacenadas en GitHub. El modelo recupera todos los repositorios que coincidan con los conceptos de arquitectura buscados; para darle semántica y contexto a la búsqueda, el modelo implementa la ontología de dominio específico Service-Oriented Architecture Ontology Version 2.0. Adicionalmente, se implementa procesamiento de lenguaje natural para analizar el texto del repositorio. Los repositorios son identificados y clasificados según el contexto que se expresa en el texto y en los conceptos encontrados en las descripciones del mismo. Para el proceso de evaluación del modelo propuesto se desarrolló una aplicación web denominada WebOntoGitHubSearch, la cual permite la interacción con usuarios en el proceso de consulta. La evaluación se realizó con la participación de desarrolladores y arquitectos de software de varias empresas colombianas, se utilizaron métricas de recuperación de información tales como Precision at k. Los resultados obtenidos en el proceso de evaluación son promisorios y permiten verificar la eficacia del modelo propuesto.

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DKDOnto: An Ontology to Support Software Development with Distributed Teams

Cited by 8 publications

References 13 publications

Task allocation and coordination process in distributed agile software development: an ontology based approach

Task allocation and coordination process in distributed agile software development: an ontology based approach

Ontology for knowledge condensation to support expertise location in the code phase during software development process

Recuperación y clasificación de arquitecturas software en GitHub para reutilización, soportado por ontologías

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