Identification, assessment and ranking agile software development critical success factors - a factor analysis approach

2021 ◽  
Vol 14 (3) ◽  
pp. 216
Author(s):  
Sachin Ahuja ◽  
Amitoj Singh ◽  
Vinay Kukreja
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Tawanda B. Chiyangwa ◽  
Ernest Mnkandla

Background: The continued in failure of agile and traditional software development projects have led to the consideration, attention and dispute to critical success factors that are the aspects which are most vital to make a software engineering methodology fruitful. Although there is an increasing variety of critical success factors and methodologies, the conceptual frameworks which have causal relationship are limited.Objective: The objective of this study was to identify and provide insights into the critical success factors that influence the success of software development projects using agile methodologies in South Africa.Method: Quantitative method of collecting data was used. Data were collected in South Africa through a Web-based survey using structured questionnaires.Results: These results show that organisational factors have a great influence on performance expectancy characteristics.Conclusion: The results of this study discovered a comprehensive model that could provide guidelines to the agile community and to the agile professionals.


2014 ◽  
Vol 5 (3) ◽  
pp. 41-57 ◽  
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji

Nowadays, many organizations take Business Intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This paper seeks to identify critical success factors (CSFs) that impact on successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects in Iran. Robust Exploratory Factor Analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational”, “human”, “project management”, and “technical”. The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.


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