The Software Engineering Discipline

2006 ◽  
pp. 59-97
Author(s):  
Daniel M. Brandon
Keyword(s):  
Project Management ◽  
Software Engineering ◽  
Software Development ◽  
Success Factors ◽  
Project Success ◽  
It Project Management ◽  
It Projects ◽  
Engineering Discipline

Software engineering is vital for the proper planning of IT projects, although it is not a formal part of project management. The software engineering embedded in the acquired products will significantly affect long-term project success factors, even for IT projects that primarily involve software acquisition and integration instead of software development,. In this chapter I review software engineering and its relation to IT project management.

Sponsorship in IT Project Management

2011 ◽  
pp. 3559-3563
Author(s):  
David Bryde ◽  
David Petie
Keyword(s):  
Project Management ◽  
Information Needs ◽  
Success Factors ◽  
Project Success ◽  
Success Factor ◽  
It Project Management ◽  
Top Executives ◽  
Critical Success ◽  
Success Criteria ◽  
Project Success Criteria

Since the 1970s academics and practitioners in the discipline of project management have sought answers to two inter-related questions: How is project success defined and measured? What are the influences on project success? To answer the first question people have studied project success criteria/key performance indicators. To answer the second, studies have focused on project critical success factors. Daniel (1961) introduced the concept of “success factors,” stating that “in most industries there are usually three to six factors that determine success; these key jobs must be done exceedingly well for a company to be successful” (p.116). Approaches to the management of information have been established using Daniel’s concept. For example, Rockart (1979) developed a Critical Success Factor (CSF) method for meeting the information needs of top executives. This method focused on understanding the objectives and goals of the company and the factors (CSFs) critical to their achievement, and establishing information systems to report on performance in these two areas. A key challenge has been to integrate the definitions and measures of success with CSFs, and in this respect work has been carried out to develop frameworks linking models of success criteria (the measures of success) with CSFs (see, for example, van Veen-Dirks & Wijn, 2002). The concept of CSFs has also been applied to project environments, with project CSFs being “those inputs to the management system that lead directly or indirectly to the success of the project” (Cooke- Davies, 2002, p. 185). Project management theory has also looked for a holistic answer to the questions of “How is project success defined and measured?” and “What are the influences on project success?”, through the development of models linking project success criteria and project CSFs (Westerveld, 2002; Bryde, 2003).

scholarly journals Exploring the Influence of Project Management System on Success of Company�s Projects Implementation

2016 ◽  
Vol 5 (3) ◽  
pp. 19-29
Author(s):  
�������� ◽  
Lidiya Baranova
Keyword(s):  
Project Management ◽  
Management System ◽  
Success Factors ◽  
Scientific Literature ◽  
It Project Management ◽  
Critical Factors ◽  
It Projects ◽  
Project Management System ◽  
It Project ◽  
The Relationship

The purpose of the paper is to research the influence of project management system on success of company�s projects implementation. The paper presents a review of the scientific literature on the approaches and methods in the IT project management. The components of IT project management system are presented along with the key projects success factors. There were identified and quantitatively analyzed the relationship between the project management system components and success factors of projects. According to the results of the research conducted, the change management system and the communications are the most critical factors influencing IT projects success.

A contingency fit model of critical success factors for software development projects

2015 ◽  
Vol 28 (1) ◽  
pp. 7-33 ◽  
Author(s):  
Arthur Ahimbisibwe ◽  
Robert Y Cavana ◽  
Urs Daellenbach
Keyword(s):  
Project Management ◽  
Software Development ◽  
Success Factors ◽  
Project Success ◽  
Development Projects ◽  
Software Projects ◽  
Content Type ◽  
Critical Success ◽  
Agile Methodologies ◽  
Project Characteristics

Purpose – While the choices available for project management methodologies have increased significantly, questions remain on whether project managers fully consider their alternatives. When project categorization systems and criteria are not logically matched with project objectives, characteristics and environment, this may provide the key reason for why many software projects are reported to fail to deliver on time, budget or do not give value to the client. The purpose of this paper is to identify and categorize critical success factors (CSFs) and develop a contingency fit model contrasting perspectives of traditional plan-based and agile methodologies. Design/methodology/approach – By systematically reviewing the previous literature, a total of 37 CSFs for software development projects are identified from 148 articles, and then categorized into three major CSFs: organizational, team and customer factors. A contingency fit model augments this by highlighting the necessity to match project characteristics and project management methodology to these CSFs. Findings – Within the three major categories of CSFs, individual factors are ranked based on how frequently they have been cited in previous studies, overall as well as across the two main project management methodologies (traditional, agile). Differences in these rankings as well as mixed empirical support suggest that previous research may not have adequately theorized when particular CSFs will affect project success and lend support for the hypothesized contingency model between CSFs, project characteristics and project success criteria. Research limitations/implications – This research is conceptual and meta-analytic in its focus. A crucial task for future research should be to test the contingency fit model developed using empirical data. There is no broad consensus among researchers and practitioners in categorizing CSFs for software development projects. However, through an extensive search and analysis of the literature on CSFs for software development projects, the research provides greater clarity on the categories of CSFs and how their direct, indirect and moderated effects on project success can be modelled. Practical implications – This study proposes a contingency fit model and contributes towards developing a theory for assessing the role of CSFs for project success. While future empirical testing of this conceptual model is essential, it provides an initial step for guiding quantitative data collection, specifies detailed empirical analysis for comparative studies, and is likely to improve clarity in debate. Since previous studies have not rigorously assessed the impact of fit between project characteristics, project environment and project management methodology on project success, additional empirically robust studies will help to clarify contradictory findings that have limited theory development for CSFs of software development projects to date. Originality/value – Previous research for software development projects has frequently not fully incorporated contingency as moderation or contingency as fit (traditional vs agile). This research sets out to develop fully a contingency fit perspective on software development project success, through contrasting traditional plan-driven and agile methodologies. To do this, the paper systematically identifies and ranks 37 CSFs for software projects from 148 journal publications and holistically categorizes them as organizational, team, customer and project factors.

scholarly journals Modern technologies influence on project success factors in IT sector of Serbia

2021 ◽  
Vol 11 (2) ◽  
pp. 124-137
Author(s):  
Tamara Zorić ◽  
Vesna Makitan ◽  
Eleonora Brtka ◽  
Simo Mrđen
Keyword(s):  
Project Management ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Success Factors ◽  
Project Success ◽  
Positive Impact ◽  
It Projects ◽  
Technological Advances ◽  
Conducting Research ◽  
Modern Technologies

Given the technological advances and the recognized importance of the application of technologies in project management, the question arises whether the technologies of Industry 4.0 can solve the problem of failure of information technologies (IT) projects. This question is the main motivator for writing this paper and conducting research on this topic. This paper describes a research that was conducted with the intention of examining the extent to which modern technologies can contribute to the success of IT projects. The research shows the extent to which modern technologies are applied in project management in the IT sector of Serbia, as well as the extent to which experts believe that these technologies have a positive impact on project success, analyzing the issue through their impact on success factors. This research provides insights that can contribute to a better understanding of modern technologies and their application in practice.

scholarly journals Critical success factors for outsourced software development projects from a vendor's perspective: A structural equation modelling analysis of traditional plan-based and agile methodologies

2021 ◽  
Author(s):  
◽  
Arthur Ahimbisibwe
Keyword(s):  
Project Management ◽  
Software Development ◽  
Structural Equation ◽  
Success Factors ◽  
Project Success ◽  
Project Managers ◽  
Development Projects ◽  
Critical Success ◽  
Agile Methodologies ◽  
Equation Modelling

<p>There are many factors proposed as to why software projects fail, one of them is the inappropriate choice of a project management methodology. Although there is an increased range of available management choices, project managers do not frequently consider their alternatives. They tend to narrowly tailor project categorisation systems and use categorisation criteria that are not logically linked with objectives. To address this, this study develops and tests an integrative contingency fit model for contrasting perspectives of traditional plan-based and agile methodologies specifically for outsourced software development projects. In addition, it takes a vendor‘s perspective, rather than the client perspective that is mostly used. Overall, the research seeks to answer these questions: (RQ1) what are the Critical Success Factors (CSFs) for outsourced software development projects from a vendor‟s perspective? (RQ2) What are the differences in these CSFs for traditional plan-driven and agile methodologies towards project success from a vendor‟s perspective?  The IT literature reveals two major distinct categories of methodologies: traditional plan-based and agile. Previous research has identified CSFs with respect to project success with mixed findings. The recent increase in popularity of methodologies has shifted the debate, interest and controversy to CSFs that are the factors which are most important to make a methodology successful. While there is an increasing diversity of project types, project contexts and methodologies, the frameworks or theories connecting these are limited. To date software development projects studies have addressed generally one methodology per study and perceived candidate CSFs as a form of reasons of success amidst a wide range of project success criteria. Although contingency theory has been previously argued for outsourced software development projects, empirical models have frequently not fully incorporated contingency as fit or fit as moderation (i.e. traditional vs. agile). This study sought to fill this research gap.  Cross-sectional data from 984 senior vendor project managers and team leaders was collected by a global web-based survey. Structural Equation Modelling (SEM) (a multivariate statistical technique, in which parameters are estimated by minimizing the discrepancy between the model-implied covariance matrix and the observed covariance matrix) was used for data analysis. SEM results provide support for several contingency hypotheses theorizing relationships between candidate CSFs and project success. Project management methodology was found to moderate the effects of various CSFs on project success, and in different ways for various success measures. Similarly, the results show the level of project uncertainty moderates the impact of various CSFs on project success, and in different ways for various success measures. Together these findings provide empirical support for contingency as fit and more fully incorporate fit as moderation.  The study contributes towards understanding the differences between traditional plan-based and agile project management based on the perceptions of vendor respondents with regard to their client organizations, and also to understanding what are the most significant antecedents of success (the CSFs) in different project contexts. The study also examines the indirect and interaction effects, and the findings contribute towards understanding of the contingency perspective as a framework to be used by project managers and organizations. Practical implications of these results suggest that project managers should tailor project management methodologies according to various project types, which is likely to improve current project success rates.</p>

Sponsorship in IT Project Management

2005 ◽  
pp. 2597-2601
Author(s):  
David Bryde ◽  
David Petie
Keyword(s):  
Project Management ◽  
Information Needs ◽  
Success Factors ◽  
Project Success ◽  
Success Factor ◽  
It Project Management ◽  
Top Executives ◽  
Critical Success ◽  
Success Criteria ◽  
Project Success Criteria

Since the 1970s academics and practitioners in the discipline of project management have sought answers to two inter-related questions: How is project success defined and measured? What are the influences on project success? To answer the first question people have studied project success criteria/key performance indicators. To answer the second, studies have focused on project critical success factors. Daniel (1961) introduced the concept of “success factors,” stating that “in most industries there are usually three to six factors that determine success; these key jobs must be done exceedingly well for a company to be successful” (p.116). Approaches to the management of information have been established using Daniel’s concept. For example, Rockart (1979) developed a Critical Success Factor (CSF) method for meeting the information needs of top executives. This method focused on understanding the objectives and goals of the company and the factors (CSFs) critical to their achievement, and establishing information systems to report on performance in these two areas. A key challenge has been to integrate the definitions and measures of success with CSFs, and in this respect work has been carried out to develop frameworks linking models of success criteria (the measures of success) with CSFs (see, for example, van Veen-Dirks & Wijn, 2002). The concept of CSFs has also been applied to project environments, with project CSFs being “those inputs to the management system that lead directly or indirectly to the success of the project” (Cooke-Davies, 2002, p. 185). Project management theory has also looked for a holistic answer to the questions of “How is project success defined and measured?” and “What are the influences on project success?”, through the development of models linking project success criteria and project CSFs (Westerveld, 2002; Bryde, 2003).

A Holistic Approach for Understanding Project Management

2012 ◽  
pp. 25-39 ◽  
Author(s):  
Theresa A. Kraft ◽  
Annette Lerine Steenkamp
Keyword(s):  
Project Management ◽  
Critical Success Factors ◽  
Success Factors ◽  
Holistic Approach ◽  
It Project Management ◽  
It Projects ◽  
Critical Success ◽  
Body Of Knowledge ◽  
It Project ◽  
Project Failures

Companies invest significant sums of money in major Information Technology (IT) projects, yet success remains limited. Despite an abundance of IT Project Management (ITPM) resources available to project teams, such as the Project Management Institute (PMI) Body of Knowledge, IT standards and IT governance, a large percentage of IT projects continue to fail and ultimately get scrapped. Recent studies have shown an average of 66% IT project failure rate, with 52% of the projects being cancelled, and 82% being delivered late. The purpose of this research was to provide a way for uncovering potential causes of IT project failures by utilizing a systemic and holistic approach to identify critical success factors for project management. The holistic approach has enabled the development of an ITPM conceptual model, which provides a method to evaluate the critical success factors of a given project, and their alignment with each other. The adoption of the systemic methodology and its implementation increase the potential for IT project success, and alert project leaders of potential problems throughout the life of the project.

scholarly journals Critical success factors for outsourced software development projects from a vendor's perspective: A structural equation modelling analysis of traditional plan-based and agile methodologies

2021 ◽  
Author(s):  
◽  
Arthur Ahimbisibwe
Keyword(s):  
Project Management ◽  
Software Development ◽  
Structural Equation ◽  
Success Factors ◽  
Project Success ◽  
Project Managers ◽  
Development Projects ◽  
Critical Success ◽  
Agile Methodologies ◽  
Equation Modelling

<p>There are many factors proposed as to why software projects fail, one of them is the inappropriate choice of a project management methodology. Although there is an increased range of available management choices, project managers do not frequently consider their alternatives. They tend to narrowly tailor project categorisation systems and use categorisation criteria that are not logically linked with objectives. To address this, this study develops and tests an integrative contingency fit model for contrasting perspectives of traditional plan-based and agile methodologies specifically for outsourced software development projects. In addition, it takes a vendor‘s perspective, rather than the client perspective that is mostly used. Overall, the research seeks to answer these questions: (RQ1) what are the Critical Success Factors (CSFs) for outsourced software development projects from a vendor‟s perspective? (RQ2) What are the differences in these CSFs for traditional plan-driven and agile methodologies towards project success from a vendor‟s perspective?  The IT literature reveals two major distinct categories of methodologies: traditional plan-based and agile. Previous research has identified CSFs with respect to project success with mixed findings. The recent increase in popularity of methodologies has shifted the debate, interest and controversy to CSFs that are the factors which are most important to make a methodology successful. While there is an increasing diversity of project types, project contexts and methodologies, the frameworks or theories connecting these are limited. To date software development projects studies have addressed generally one methodology per study and perceived candidate CSFs as a form of reasons of success amidst a wide range of project success criteria. Although contingency theory has been previously argued for outsourced software development projects, empirical models have frequently not fully incorporated contingency as fit or fit as moderation (i.e. traditional vs. agile). This study sought to fill this research gap.  Cross-sectional data from 984 senior vendor project managers and team leaders was collected by a global web-based survey. Structural Equation Modelling (SEM) (a multivariate statistical technique, in which parameters are estimated by minimizing the discrepancy between the model-implied covariance matrix and the observed covariance matrix) was used for data analysis. SEM results provide support for several contingency hypotheses theorizing relationships between candidate CSFs and project success. Project management methodology was found to moderate the effects of various CSFs on project success, and in different ways for various success measures. Similarly, the results show the level of project uncertainty moderates the impact of various CSFs on project success, and in different ways for various success measures. Together these findings provide empirical support for contingency as fit and more fully incorporate fit as moderation.  The study contributes towards understanding the differences between traditional plan-based and agile project management based on the perceptions of vendor respondents with regard to their client organizations, and also to understanding what are the most significant antecedents of success (the CSFs) in different project contexts. The study also examines the indirect and interaction effects, and the findings contribute towards understanding of the contingency perspective as a framework to be used by project managers and organizations. Practical implications of these results suggest that project managers should tailor project management methodologies according to various project types, which is likely to improve current project success rates.</p>

scholarly journals EARLY WARNING SYSTEM IN MANAGING WATER INFRASTRUCTRE PROJECTS

2019 ◽  
Vol 25 (6) ◽  
pp. 531-550
Author(s):  
Mariela Sjekavica Klepo ◽  
Mladen Radujković
Keyword(s):  
Project Management ◽  
Early Warning ◽  
Final Stage ◽  
Early Warning System ◽  
Critical Success Factors ◽  
Success Factors ◽  
Project Success ◽  
Warning System ◽  
Infrastructure Projects ◽  
Critical Success

There is a continuous need to improve existing project management decision-making support models, particularly those for monitoring and control are needed to increase chances for success. In this paper, potential of early warning in project management was focused, along with its connection to project success via project success factors. First, a systematic literature review was conducted, along with the focus group method, in order to identify project success factors. The selected success factors were also collected on 93 water infrastructure projects through a survey. By the means of linear regression analysis, critical success factors were finally determined. The results were integrated in the early warning system algorithm, composed by three modules – detection, validation and response module. The response module is composed by three dimensions: 1) risk, constraint and change management, 2) incorporation of project management competences and 3) application of project management methods, tools and techniques. The proposed early warning system was tested on three infrastructure projects. The results confirmed that improved early warning system can contribute in increase of project management success. As original database is composed by projects from only one country (Croatia), in the final stage of the research proposed approach was checked in five countries from the Central or South East Europe (Czech Republic, Slovenia, Serbia, North Macedonia, Bosnia and Herzegovina). The results from the final stage confirmed potential of the proposed approach as declared originally, so it is reasonable to expect success in early warning system’s implementation due to similarities of critical success factors on projects as well as project management problems in general, that countries in regions share. This research presents new and creative way in linking early warning and project success, as well as interpretation of early response through different dimensions in project management. Also, based on the results of this research, it is possible to create a useful practical tool for managing other types of projects.

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