Prioritizing key success factors of software projects using fuzzy <scp>AHP</scp>

Yaghoobi, Tahere

doi:10.1002/smr.1891

Cited by 59 publications

(72 citation statements)

References 43 publications

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“…In this study, the findings of the literature review were unable to explain the generalizability of the results because of the limited responses obtained from the experts and because most of them were collected from the software industries located in India. However, on the basis of the outcomes of various studies similar in nature to that of our study, the authors firmly believe that the sample size was sufficiently large to explain the generalizability of this study.…”

Section: Threats To Validitymentioning

confidence: 99%

Prioritizing challenges of agile process in distributed software development environment using analytic hierarchy process

Shameem

Kumar

et al. 2018

J Software Evolu Process

101

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Software organizations are increasingly combining agile methodologies and distributed software development (DSD) for efficiently and effectively built software products. There are numerous challenges associated with scaling agile methods in a distributed environment. Our study is intended to explore and prioritize the challenges for scaling agile practices in the DSD environment. This study was divided into 3 stages. In the first stage, 22 challenges were identified from literature review and grouped into 4 categories: management, team, technology, and process based on discussion with experts. In the second stage, an online questionnaire study was conducted to validate the identified challenges. Finally, analytic hierarchy process method was used to prioritize challenges and their categories based on their relative importance. The results highlighted that management is a most significant category as compared with the other categories.Similarly, lack of management commitments, lack of effective communication, lack of knowledge sharing, etc are identified as the most significant challenges that need to be focused by the organizations for scaling agile methodologies. On the basis of the research findings, we could conclude that the identified challenges along with their categories provide a robust framework to scale agile methodologies in the DSD environment. KEYWORDSagile development, AHP, challenges, distributed software development, multiple-criteria decision making INTRODUCTIONOver the last 2 decades, a variety of models and processes have been developed for the effective management of software development activities.Among these, agile is the most significant process that has been introduced to provide opportunities to manage the dynamic behavior of system development activities. 1,2 Agile is a lightweight software development approach that promotes continuous iterations of development and testing throughout the software development life cycle. 2 Various agile methods have been developed, and the most popular among these are extreme programming (XP), crystal, scrum, adaptive software development, and feature-driven development. 3 The underlying philosophy of agile methods is derived from the agile manifesto developed by several system development experts who designed different methodologies on the basis of similar ideals. 2 This philosophy primarily focuses on teamwork, the importance of individuals and their interactions, early product delivery, collaboration with the customers, and effective responses to change requirements. 4 Agile methods were originally designed for small and single-team projects. 2,3 However, few research studies have claimed the successful implementation of agile methods in a distributed environment in large-scale organizations. 3,5 Despite some successful implementations of agile methods, Abbreviations: ANA, antinuclear antibodies; APC, antigen-presenting cells; IRF, interferon regulatory factor J Softw Evol Proc. 2018;30:e1979. wileyonlinelibrary.com/journal/smr

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Section: Threats To Validitymentioning

confidence: 99%

Prioritizing challenges of agile process in distributed software development environment using analytic hierarchy process

Shameem

Kumar

et al. 2018

J Software Evolu Process

101

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“…A fuzzy AHP method is selected as a factor-weighting model because studies have declared its effectiveness in prioritizing and ranking of factors, criteria, alternatives in construction management, and other various disciplines [42][43][44][45][46][47][48][49][50]. Fuzzy AHP can be applied in several ways.…”

Section: Fuzzy Ahp Methodmentioning

confidence: 99%

An Effective Approach to Input Variable Selection for Preliminary Cost Estimation of Construction Projects

Meharie

Gariy

Mutuku

et al. 2019

Advances in Civil Engineering

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Accurate cost estimates are vital to the effective realisation of construction projects. Extended knowledge, wide-ranging information, substantial expertise, and continuous improvement are required to attain accurate cost estimation. Cost estimation at the preliminary phase of the project is always a challenge as only limited information is available. Hence, rational selection of input variables for preliminary cost estimation could be imperative. A systematic input variable selection approach for preliminary estimating using an integrated methodology of factor analysis and fuzzy AHP is presented in this paper. First, the factor analysis is used to classify and reduce the input variables and their variable coefficients are determined. Second, fuzzy AHP based on the geometric mean method is employed to determine the weights of input variables in a fuzzy environment where the subjectivity and vagueness are handled with natural language expressions parameterized by triangular fuzzy numbers. Then, the input variables are suggested to be selected starting with those having high coefficient and high importance weight. A set of three variables, one from each group, can be added to the estimating model at a time so that the problem of collinearity can vanish and good accuracy of the estimate can be ensured. The proposed approach enables cost estimators to better understand the complete input variable selection process at the early stage of project development and provide a more accurate, rational, and systematic decision support tool.

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“…A review by [24] showed an increased focus on human actors, project management alternative acceptance, adapt to change. The work uses a fuzzy approach to order key success factors of projects [4].…”

Section: Related Workmentioning

confidence: 99%

“…Project and portfolio managers must harvest the features of project portfolio management (PPM) software to ensure proper control. Common issues of PPM include prioritization [4], inaccurate reporting, resource utilization, and software development lifecycle. The primary objective of PPM is to execute projects that support strategic organization goals under constraints of scope, time and resources.…”

Section: Introductionmentioning

confidence: 99%

Understanding Customer Voice of Project Portfolio Management Software

Ayyagari¹,

Atoum²

2019

IJACSA

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Project Portfolio Management (PPM) has gained success in many projects due to its large number of features that covers effective scheduling, risk management, collaboration, and third-party software integrations to mention a few. A broad range of PPM software is available; however, it is essential to select the PPM with minimum usage issues over time. While many companies use surveys and market research to get users feedback, the PPM product software reviews carry the voice of users; the positive and negative sentiments of the PPM software reviews. This paper collected 4,775 reviews of ten PPM software from Capttera.com. Our approach has these phases-text preprocessing, sentiment analysis, summarization, and categorizations. The software reviews are filtered and cleaned, then negative sentiments of user reviews are summarized into a set of factors that identify issues of adopted PPM software. We report the most important issues of PPM software which were related to missing technological features and lack of training. Results using Latent Dirichlet Allocation (LDA) model showed that the top ten common issues are related to software complexity and lack of required features.

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Prioritizing key success factors of software projects using fuzzy AHP

Cited by 59 publications

References 43 publications

Prioritizing challenges of agile process in distributed software development environment using analytic hierarchy process

Prioritizing challenges of agile process in distributed software development environment using analytic hierarchy process

An Effective Approach to Input Variable Selection for Preliminary Cost Estimation of Construction Projects

Understanding Customer Voice of Project Portfolio Management Software

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