Software Project Risk Analysis using Intelligent Project metrics

Journal of Engineering Management and Competitiveness

Many Software development organizations suffer chronic problems of cost overruns, schedule slips and projects that do not meet the originally specified functions in almost all software projects. This study is commenced by reviewing existing risk management models. Thereafter, a survey that involved software project managers in Iran was conducted to gather empirical data about the practice of risk assessment. Thirty Software Project managers participated and were interviewed. Structured questionnaires were used to capture information. Observation made from the study show that in Iran, risk assessment is poorly practiced and many projects do not yet practice systematic risk assessment. This is because 83% of software project managers implicitly assess risks and the same percentage (83%) of them uses unstructured approaches, poor risk identification and analysis techniques. It additionally shows that risks are not documented and experiences not properly utilized. This has led to recurring problems. The conclusion drawn indicates that Iran's software project managers need to start assessing risks using proper approaches. Review of existing models showed that these models are complex and may not help address the existing shortcomings. This study proposes a risk assessment framework, which helps managers to simply start assessing, documenting major risks, estimating risks using an objective approach that is based on frequently occurring risks to project likelihood of a risk occurring and subjective approach where objective approach is not applicable. It also supports qualitative risk estimation technique using prearranged risk estimation matrices and is supported by a tool that collects and stores risk data for analysis and improvement purposes.

International Journal of Intelligent Systems Technologies and Applications, 2018

Risk management is a never ending process in the life cycle of a software project. For efficient risk management, it is necessary to have deep understanding of risk, its types, mitigation strategies so that either the risk is avoidable in future or the impact of the same can be brought down. This paper essentially deals with comprehensive understanding of risk from different perspectives and offers a solution-research methodology for efficient risk management. Risk is prioritised based on the impact that is measured with the help of essential parameters that are inevitable to complete the development cycle of the project. Authors have proposed enhanced risk analysis (ERA) approach to identify measure and calculate the occurrence of risk which can get prioritised. Based on the priority, solution is applied either to mitigate or to bring down the impact of these risks leaning towards the successful completion of the software development project on time.

Risk is a potential event that leads to loss or harm in software projects. Risks may be classified into negative or positive; where negative risks specifically lead to loss or harm, while positive risks represent a new opportunity in the project. To handle these kinds of risks, risk assessment models and techniques have been introduced. In this paper, we review the most popular and applicable risk assessment models available in the literature. We come up with a taxonomy in which those models can be categorized as: (1) Artificial Intelligence (AI) based, (2) Classical (or Non-AI based), and (3) other Hybrid models. We propose evaluation criteria which have been used to compare these models. After analyzing evaluation results, we recommend suitable models which can be used to avoid project risks.

International journal of engineering research and technology, 2014

Nowadays, software development is becoming a major part of enterprise business. Software development is an activity connected with new technologies and high level of knowledge. There are many risks associated with software development such as time-to-market, budget and schedule estimation, product deployment or maintenance. These risks on software development projects must be successfully mitigated to build successful software systems in the organization. Lack of knowledge about risk management is one of the major causes for project failures. To develop a project successfully, risk management determines common risk impact areas in the software projects. Software risk management is a systematic way to manage risks in development of software projects. This paper recognizes the role of risk management in present software projects and aims at providing more support in this area. Firstly the paper consist what are the software risks involved in development of software projects, then a model of software risk management process with the overview of risk assessment process.

CLEI Electronic Journal, 2013

The usage of indicators acts in both strategic and tactical levels, it is effective for optimization of processes and also supports managerial decisions. Despite the relevance of risk management in software projects, it is in fact still usually overlooked by the organizations that develop software. One reason for this fact is that the concept of risk is abstract and subjective, and its management does not bring apparent immediate practical result. Differently, for example, in the financial market, where the risk management is consolidated and widely applied, and it is currently a need for the companies that work in this field. Briefly, risk management practices just became effectively consolidated in the financial market field when the uncertainties became measurable. In this context, this paper aims to define and propose indicators that are specific for environments of software projects in order to support risk assessment activities – risk identification and risk analysis. To achie...

ESCOM-ENCRESS, 1998

This work describes the basic elements of a risk management method supplementing a number of different public domain approaches, such as PRM body of knowledge from Project Management Institute, CTC from the Software Engineering ...

Communications of the ACM, 1998

2018

Risk analysis is a stage in the process of managing software projects, which largely affects the success of the project. It represents a complex and demanding process of planning, identification, analysis, response planning risks, monitoring, control, and reporting. Every software project, regardless of size, structure and project team is exposed to various types of risks. Risks can occur in the environment, but we have to accept the fact that they can not be completely eliminated. It is necessary to focus a lot of activities on risk reduction. The two most important features for improving the risk analysis process are: engaging professional resources, procurement and use of adequate software tools for risk analysis and management. This paper presents the results of comparative analysis of the 4 types of different risk management tools. We also proposed some specific measures for the selection and choice of the most appropriate of them in accordance with the requirements and needs o...

The International Conference on Electrical Engineering, 2014

Number of risks occurs for the development of successful software project. Sometimes it disturbs the schedule of whole project that result in the increase of cost. Therefore, the avoidance and mitigation strategies are used to overcome the effect of risk in the project. If software team use proactive approach then avoidance is the optimize solution but not all the risk can be avoided then it have to mitigate, and when risk become a reality, contingency plan has developed. The intention of this paper is to highlight number of risks, their arising issue and how to resolve them.

Risk is not always avoidable, but it is controllable. The aim of this paper is to present new techniques which use the stepwise regression analysis to model and evaluate the risks in planning software development and reducing risk with software process improvement. Top ten software risk factors in planning software development phase and thirty control factors were presented to respondents. This study incorporates risk management approach and planning software development to mitigate software project failure. Performed techniques used stepwise regression analysis models to compare the controls to each of the risk planning software development factors, in order to determine and evaluate if they are effective in mitigating the occurrence of each risk planning factor and, finally, to select the optimal model. Also, top ten risk planning software development factors were mitigated by using control factors. The study has been conducted on a group of software project managers. Successful project risk management will greatly improve the probability of project success.