Title Of Paper:
 
 
Agile Oriented Risk Detection and Risk Classification in Custom Integrated Software
Author's Name :  Sogand Aliasghari, Fatemeh Ahmadi-Abkenari, Asadolah Shahbahrami
KeyWords:  Agile development life cycle, Risk detection, Risk Classification, Scrum, Software Risks.
Pages:  37 -48
Volume: 3
Issue: 11
Year: 2015
Abstract:
 

The presence of efficient organizational information systems is required to achieve competitive advantage. Rapid technological changes caused some risks for organizations that employed comprehensive softwares. The role of risk detection practices in addition to risk classification approaches should be considered for the success of IT projects. Therefore, the success in identifying and reducing risks has the potential to show the technical and non-technical hazards to the managers and key stakeholders for concentrating resources in the best places. Considering the sensitivity of custom profession, employing risk detection approaches is necessary for reaching the high degree of customer satisfaction. A customs comprehensive software is being employed in the related offices with the ability to cover all the clearance processes and operations from the moment of good entry into the customs territory until the completion of clearance formalities. In this paper, the agile design degree of customs comprehensive software employed in custom offices in Iran is investigated through analyzing the specially designed questionnaires and interviews. Measuring the reliability and content validity of the questionnaires is performed by Cronbach's alpha factor. More overall types of risks resulting from the agile oriented design and the organizational transformation and development are classified based on Leavitt Model. The innovation of this research is its methodology to first measure the agile degree of the custom software and then detecting the agile based risks and classifies them as the technological risks in Leavitt model beside business, actor and structural risks.

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