Prioritizing and optimizing risk factors in agile software development | IEEE Conference Publication | IEEE Xplore

Prioritizing and optimizing risk factors in agile software development

Publisher: IEEE

Abstract:

To ensure success and quality of a software, early identification and prioritization of the risk is necessary. Risk impacts the cost and duration for of a software. As ag...View more

Abstract:

To ensure success and quality of a software, early identification and prioritization of the risk is necessary. Risk impacts the cost and duration for of a software. As agile practices of software development prevail over traditional software development, so they are used in present scenario. This paper proposes an Agile based Risk Rank (AR-Rank) method for the prioritization of risk factors in agile software development. To reduce the impact of risks, the proposed method provides precedence ranking of risk factors from high to low. Therefore, the goal of proposed method is to provide minimum risk-free software on time with varying degree of flexibility. For optimization of risk factors, the Particle Swarm Optimization (PSO) is applied as an iterative approach. The proposal is compared proposed with various prevalent approaches as proposed in past.
Date of Conference: 11-13 August 2016
Date Added to IEEE Xplore: 20 March 2017
ISBN Information:
Publisher: IEEE
Conference Location: Noida, India

I. Introduction

Agile methodology acknowledged to unpredictability [1] using iterative work process which is known as sprints. Nowadays Agile is the practice used by project developers to fulfill the primary goals of customer's satisfaction. Agile is both effective and maneuverable process which is light weight documentation [2] & sufficient. Many organizations adopt agile practice for software development process to deliver the project on time & faster than other approaches. [3]

References

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