Estimating Automation Projects – A Big Challenge
   
 

Govind Kulkarni
Test Manager, Testing Center of Excellence (TCOE) Zensar Technologies Ltd

Govind has over 12 years of IT experience in software analysis, design, development, and testing. Since the last 6 years he has focused mostly on providing software testing solutions for companies like British Telecom, Autodesk, Covad, MetLife and Euromax. He has worked as a test team member, lead and test manager to provide testing solutions in functional, automation and performance testing and tuning.

Govind is an M. Sc in Statistics followed by a Post Graduate degree in Statistical Quality Control. He is also a Project Management Professional (PMP) from the PMI, USA, Certified Quality Analyst from QAI, USA and certified ISO 9000 Quality Management System auditor from A-Pex, U.K.

At Zensar, he has managed to provide testing solutions for Euromax Terminal, a Holland based terminal. In his previous organizations he was responsible for Stress and Performance testing to ensure that the performance test challenge of meeting 250 concurrent users is met by planning, executing, reporting and coordinating with various stakeholders to fine tune the system.

He has also worked on a project, which used Agile development methodology (SCRUM).

He has published articles and papers in software testing conference conducted by QAI and held in India.

His current interests include defect prediction using Bayesian Statistical methods and performance tests and tuning.



ABSTRACT: Automation projects ,sometimes, go crazy in deliveries due to inaccurate estimation done by the project managers. As a consequence, either there is limited resources allocated to the assignment, or there might be tight schedule to complete the work resulting in poor deliveries. Usually, automation project estimation is a specialized topic in itself. This requires thorough understanding of the system functionality, the skill set of resource, availability of environments and most importantly the issues that arise out of tool and the scripting. The paper provides estimation approaches specifically tailored for automation projects and discusses some of the pertinent issues.

These methods could be used while we do estimation either using a commercial tool or an open source tool.


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