Informatics Publishing Limited

Abstract

Effort estimation techniques play a key role in the planning process for the development of mobile phone applications. The development of mobile applications is different from the traditional applications of information systems because of their dissimilar characteristics and the rapid advancement of technology used in the development of the former. For this, existing traditional effort estimation techniques may not be suitable for use in predicting the development effort of mobile applications. The process of estimating and predicting the effort depends mainly on the characteristics of the applications. The aim of this study is to propose a methodology for the use of intelligent techniques to predict the effort to develop mobile applications, which are considered unconventional and to cope with the rapid development of mobile application development environment.

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Abstract

Most of software houses use agile development methodologies such as XP and scrum to enhance its product quality, increase communication between teams, release products in a short time and to participate its clients in the software development life cycle. There are many problems usually occur, first problem the time spent between the development of the software and to make it operational. The second problem is the difference between environments. There are two different environments; the development environment is the first environment which is used to develop, build and deploy the software in development phase. On the other hand, operating environment, which is usually called production environment. In the operation environment there are a lot of constraints due to the nature and policies of IT. The third problem is the time taken in the support process. Recently, a new concept called DevOps appeared. DevOps is not a part of Agile Methodologies, but it is a new cultural introduced to add value to agile methodologies. In this paper, researchers are trying to explore the concept of DevOps and to introduce the tools used to proof the idea of DevOps. Additionally, the research tries to investigate the challenges of the adapting DevOps in enterprises.

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