{"title":"分布式敏捷软件开发中的任务分配与协调过程:一种基于本体的方法。","authors":"Chitra Nundlall, Soulakshmee D Nagowah","doi":"10.1007/s10799-022-00365-9","DOIUrl":null,"url":null,"abstract":"<p><p>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, <i>OntoDASD</i>, 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. <i>OntoDASD</i> has been properly evaluated and validated by professionals in the field.</p>","PeriodicalId":46884,"journal":{"name":"Information Technology & Management","volume":"23 3","pages":"167-192"},"PeriodicalIF":2.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086155/pdf/","citationCount":"0","resultStr":"{\"title\":\"Task allocation and coordination process in distributed agile software development: an ontology based approach.\",\"authors\":\"Chitra Nundlall, Soulakshmee D Nagowah\",\"doi\":\"10.1007/s10799-022-00365-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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, <i>OntoDASD</i>, 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. <i>OntoDASD</i> has been properly evaluated and validated by professionals in the field.</p>\",\"PeriodicalId\":46884,\"journal\":{\"name\":\"Information Technology & Management\",\"volume\":\"23 3\",\"pages\":\"167-192\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086155/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Technology & Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1007/s10799-022-00365-9\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/5/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Technology & Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s10799-022-00365-9","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/5/10 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Task allocation and coordination process in distributed agile software development: an ontology based approach.
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.
期刊介绍:
Changes in the hardware, software and telecommunication technologies play a major role in the way our society is evolving. During the last decade, the rate of change in information technology has increased. Indeed it is clear that we are now entering an era where explosive change in telecommunication technology combined with ever increasing computing power will lead to profound changes in information systems that support our organizations. These changes will affect the way our organizations function, will lead to new business opportunities and will create a need for new non-profit organizations. Governments and international organizations do and will have to scramble to create policies and laws for control of public goods and services such as airwaves and public networks. Educational institutions will continue to change the content of educational materials they deliver to include new knowledge and skills. In addition these institutions will change the delivery mechanisms for disseminating these materials. By definition, information technology is very wide. There are a number of journals that address different technologies such as databases, knowledge bases, multimedia, group-ware, telecommunications, etc. This current trend is understandable because these technologies are indeed complex and often have a multitude of technical issues requiring in-depth study. On the other hand, business solutions almost always require integration of a number of these technologies. Therefore it is important to have a journal where the readers will be exposed not only to different technologies but also to their impact on information system design, functionality, operations and management. It should be emphasized that information systems include not only machines but also humans; therefore, the journal will be an outlet for studies dealing with man/machine interface, human factors and organizational issues. Furthermore, managerial issues arising from and dealing with managem ent of information technology and systems including strategic issues are included in the domain of coverage. The topics of coverage will include but will not be limited to the following list: Managing with Information Technology;Management of Information Technology and Systems;Introduction and Diffusion of IT;Strategic Impact of IT;Economics of IS and IT;New Information Technologies and Their Impact on Organizations;Human Factors in Information Systems;Man/Machine Interface, GUI;IS and Organizational Research Issues;Graphical Problem Solving;Multimedia Applications;Knowledge Acquisition and Representation;Knowledge Bases;Data Modeling;Database Management Systems;Data Mining;Model Management Systems;Systems Analysis, Design and Development; Case Technologies;Object Oriented Design Methodologies;System Design Methodologies;System Development Environments;Performance Modeling and Analysis; Software Engineering;Artificial Intelligence Applications to Organizational/Business Problems;Expert Systems;Decision Support Systems;Machine Learning;Neural Network Applications;Meta-Heuristics and Business Problem Solving;Distributed Computer Systems, Legacy Systems, Client - Server Computing;End User Computing;Information Systems for Virtual Organizations;IS and IT for Business Process Re-engineering;IS for Total Quality Control;IS for Supporting Team Work;Negotiation Support Systems;Group Decision Support Systems;EDI;Internet/WWW Applications;Telecommunication Networks;IT and International Information Systems;Security in Networks and Systems;Public Policy Issues dealing with Telecommunica tion;Networks and Airways;IS and IT Training;GIS;IS and IT Applications, e.g., in logistics, marketing, accounting, finance and operations.
Officially cited as: Inf Technol Manag