scholarly journals A Probabilistic Software Risk Assessment and Estimation Model for Software Projects

2015 ◽  
Vol 54 ◽  
pp. 353-361 ◽  
Author(s):  
Chandan Kumar ◽  
Dilip Kumar Yadav
Keyword(s):  
Risk Assessment ◽  
Estimation Model ◽  
Software Projects ◽  
Software Risk

scholarly journals Development of Rule-Based Software Risk Assessment and Management Method with Fuzzy Inference System

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Mustafa Batar ◽  
Kökten Ulaş Birant ◽  
Ali Hakan Işık
Keyword(s):  
Risk Assessment ◽  
Software Development ◽  
Fuzzy Inference ◽  
Development Projects ◽  
Software Projects ◽  
Inference System ◽  
Rule Based ◽  
Management Method ◽  
Software Risk ◽  
Risk Assessment And Management

There is an enormous budget and financial plan in software development projects, and it is required that they take a huge investment to carry on. When looked at, the costs depend on the global substantial information about software development: in 1985, $150 billion; in 2010, $2 trillion; in 2015, $5 trillion; and in 2020, over $7 trillion. Additionally, on the first new days of 2021, a day-by-day Apple Store’s quantity has been approximately $500 million. In spite of the expenditures and the margins that are dramatically expanding and increasing each year, the phase of software development accomplishment is not high enough. In light of the “CHAOS” report arranged in 2015, just 17% of the software projects were finished in an opportune way, in the allotted financial plan, and as per the necessities. However, 53% of the software projects were finished in the long run or potentially over a spending plan as well as without satisfying the prerequisites precisely. In addition, software development projects were not completed and were dropped out as well in the ratio of 30%. Also, the “CHAOS” report published in 2020 has figured out that only 33% of the software projects were completed successfully all over the world. In order to cope with these unsuccessful and failure results, an effective method for software risk assessment and management has to be specified, designated, and applied. In this way, before causing trouble that has the power of preventing successful accomplishment of software development projects, software risks are able to be noticed and distinguished on time. In this study, a new and original rule set, which could be used and carried out effectively in software risk assessment and management, has been designed and developed based on the implementation of fuzzy approached technique integrated with machine learning algorithm—Adaptive Neuro-Fuzzy Inference System (ANFIS). By this approach and technique, machines (computers) are able to create several software risk rules not to be seen, not to be recognized, and not to be told by human beings. In addition, this fuzzy inference approach aims to decrease risks in the software development process in order to increase the success rate of the software projects. Also, the experimental results of this approach show that rule-based software risk assessment and management method has a valid and accurate model with a high accuracy rate and low average testing error.

Insights on Cost Estimation Methods and its Uses in Software Project Design

2020 ◽  
pp. 166-169
Author(s):  
Aravindhan K
Keyword(s):  
Project Management ◽  
Cost Estimation ◽  
Estimation Methods ◽  
Software Project ◽  
Estimation Model ◽  
Software Projects ◽  
Software Applications ◽  
Software Companies ◽  
Cost Estimation Model ◽  
The Cost

Cost estimation of software projects is risky task in project management field. It is a process of predicting the cost and effort required to develop a software applications. Several cost estimation models have been proposed over the last thirty to forty years. Many software companies track and analyse the current project by measuring the planed cost and estimate the accuracy. If the estimation is not proper then it leads to the failure of the project. One of the challenging tasks in project management is how to evaluate the different cost estimation and selecting the proper model for the current project. This paper summarizes the different cost estimation model and its techniques. It also provides the proper model selection for the different types of the projects.

The Effects of Communication Patterns on the Success of Open Source Software Projects

2016 ◽  
Vol 24 (4) ◽  
pp. 22-44 ◽  
Author(s):  
Jing Wu ◽  
Khim-Yong Goh ◽  
He Li ◽  
Chuan Luo ◽  
Haichao Zheng
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Fixed Effects ◽  
Communication Patterns ◽  
Estimation Model ◽  
Software Projects ◽  
Team Members ◽  
Analysis Methodology ◽  
Model Following ◽  
Time Period

Drawing on the theoretical lens of communication patterns in organizational theory, this research analyzed the longitudinal success of open source software (OSS) projects by employing social network analysis method, based on extensive analyses of empirical data. This study is expected to provide an understanding on how communication patterns established in different roles and different levels. The authors not only measured OSS success from both developers and users' perspectives, but also extended the existing research by including the potential relationships among these success measures in the estimation model. Following the panel data econometric analysis methodology, they evaluated their research hypotheses using the Three-Stage Least Squares model, accounting for both time-period and project fixed effects. The authors' results indicated that according to the objectives of projects, a proper and planned control for the communication among team members is crucial for the success of OSS projects.

Towards an efficient risk assessment in software projects–Fuzzy reinforcement paradigm

2018 ◽  
Vol 71 ◽  
pp. 833-846 ◽  
Author(s):  
Arun Kumar Sangaiah ◽  
Oluwarotimi Williams Samuel ◽  
Xiong Li ◽  
Mohamed Abdel-Basset ◽  
Haoxiang Wang
Keyword(s):  
Risk Assessment ◽  
Software Projects

An Early Multi-Criteria Risk Assessment Model

2019 ◽  
Vol 21 (2) ◽  
pp. 51-64
Author(s):  
Priyanka Chandani ◽  
Chetna Gupta
Keyword(s):  
Risk Assessment ◽  
Software Development ◽  
Cumulative Risk ◽  
Requirement Engineering ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Software Projects ◽  
Development Life Cycle ◽  
Weighted Score ◽  
Development Phases

Accurate time and budget is an essential estimate for planning software projects correctly. Quite often, the software projects fall into unrealistic estimates and the core reason generally owes to problems with the requirement analysis. For investigating such problems, risk has to identified and assessed at the requirement engineering phase only so that defects do not seep down to other software development phases. This article proposes a multi-criteria risk assessment model to compute risk at a requirement level by computing cumulative risk score based on a weighted score assigned to each criterion. The result of comparison with other approaches and experimentation shows that using this model it is possible to predict the risk at the early phase of software development life cycle with high accuracy.

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