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Ontology Based Multiagent Effort Estimation System for Scrum Agile Method
- Source :
- IEEE Access, Vol 5, Pp 25993-26005 (2017)
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- This paper emphasizes on software effort estimation and knowledge management of practicing Scrum methodology that are challenging tasks in agile context. Proposed approach improves software effort estimation and knowledge management of software projects by focusing on Scrum process and practices using ontology model in a multiagent estimation system. It also motivates project key stakeholders to regularly save significant tacit knowledge of unique situations in the form of lessons learnt during the project development. Various agents of the estimation system access the existing knowledge base and autonomously perform their inferencing activities using description logic as per requirements specified by the scrum master and respond with suitable estimate to him/her in the form of time, resources, and lessons learnt for the success of future projects. To validate our approach, an experiment, based on twelve web projects, was conducted using proposed approach, delphi and planning poker estimation methods. The obtained results by applying MMRE, PRED(x) evaluation measures reveals that proposed approach delivers more accurate estimates as compared with delphi and planning poker methods.
- Subjects :
- Knowledge management
General Computer Science
Computer science
02 engineering and technology
Scrum
Knowledge-based systems
Software
Tacit knowledge
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
ontology
Project management
multiagent effort estimation system
business.industry
05 social sciences
Empirical process (process control model)
General Engineering
Agile Unified Process
020207 software engineering
Planning poker
Knowledge base
lcsh:Electrical engineering. Electronics. Nuclear engineering
0509 other social sciences
050904 information & library sciences
business
Software engineering
lcsh:TK1-9971
Agile software development
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....20270d8b2aae7352df9c4f9dad71b610