{"title":"A fuzzified story point approach for agile projects","authors":"A. Kaushik, Dev Tayal, Kalpana Yadav","doi":"10.1504/ijasm.2020.107902","DOIUrl":null,"url":null,"abstract":"Effort estimation is very important for any software development organisation. A lot of work is present for effort estimation in traditional software development but, effort estimation in agile software development (ASD) poses a great research challenge as not much of work is done in this regard. This work proposes a fuzzy approach for effort estimation in ASD environment by identifying first the cost drivers affecting the effort of agile projects and then calculating the effort using fuzzified story point approach. These cost drivers are collected through meetings and by taking a web survey from the companies in Delhi-NCR which practise ASD. Statistical tests are also performed in order to show the dependency of effort on these cost drivers. Here, fuzzy interval type-2 is used which is compared with fuzzy type-1. It is found that, the effort calculated using fuzzy interval type-2 is better than fuzzy type-1.","PeriodicalId":38028,"journal":{"name":"International Journal of Agile Systems and Management","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijasm.2020.107902","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Agile Systems and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijasm.2020.107902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 1
Abstract
Effort estimation is very important for any software development organisation. A lot of work is present for effort estimation in traditional software development but, effort estimation in agile software development (ASD) poses a great research challenge as not much of work is done in this regard. This work proposes a fuzzy approach for effort estimation in ASD environment by identifying first the cost drivers affecting the effort of agile projects and then calculating the effort using fuzzified story point approach. These cost drivers are collected through meetings and by taking a web survey from the companies in Delhi-NCR which practise ASD. Statistical tests are also performed in order to show the dependency of effort on these cost drivers. Here, fuzzy interval type-2 is used which is compared with fuzzy type-1. It is found that, the effort calculated using fuzzy interval type-2 is better than fuzzy type-1.
期刊介绍：
The objective of IJASM is to establish an effective channel of communication between academia, industry and persons concerned with the design and development of systems. Change is eternal and perpetual, irrespective of type of system. Systems created in the course of the advance of human civilization need to be functionally and operationally sustainable amid changes in technological, political, socio-economical, financial, cultural and other environmental challenges. IJASM aims to promote and harmonize knowledge developments in the emerging fields of agile systems research, sustainability and vulnerability analysis, risk assessments methodologies, complex systems science, e-organisation and e-supply chain management, with emphasis on the international dimension, particularly breaking cultural barriers, and on national contexts, globalisation and new business practices. As such, we aim to publish papers presenting new research, innovative theoretical approaches, changes in agile management paradigms, and action (both examples of successes and failures as long as there are important lessons to be learned) from leading scholars and practitioners. Papers generally fall into two broad categories: those grounded in theory and/or papers using scientific research methods (e.g., reports of original empirical studies, models, critical reviews of existing empirical research, theory pieces that clearly extend current thinking); and those focusing on innovative agile approaches that are based on well reasoned extensions of existing research, experiential knowledge, or exemplary cases (e.g., thought pieces, case studies, etc).
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