Life as an Intern
What is your business plan for Infosys?
In its 2nd year now, the InStep Business Plan competition had 11 teams breaking new ground for a month. The Smart Energy team won the competition with its solution to optimize energy in commercial buildings.
A stepping stone to my future
"This was a valuable experience for me as my research as a Ph.D. student is to provide rural communities in West Bengal with a cheap and efficient technology to remove arsenic from water supplies."- Case M. van Genuchten - University of California, Berkeley, InStep Intern 2009
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Get in touch with us:
If you have any queries on the InStep program, or Infosys Technologies Ltd., please write to us at
intern@infosys.com
With InStep, you can work in a strategic project for the organization and see the impact of your efforts. Here are two internship projects that have brought about substantial results:
The Rule Debugger tool for business analysts
Tobias Roehm, an InStep intern from TU Munich/LMU University, has developed the Rule Debugger tool using Java (Swing) during his Internship program at Infosys. Rule Debugger is a tool to test and debug a ruleset of a BRMS system written in business language. The ruleset can contain multiple rules with conditions and actions. The tool loads a ruleset file into rule debugger and helps a business analyst debug and execute rules of a ruleset in a simulated environment.
Rule Debugger tools also helps a business analyst to set expected values and see if the data is same as expected after rules are executed. The tool saves the data and imports it whenever required. Rule Debugger can set the debugging mode to Sequential, Sequential mutual exclusive, Sequential iterative one-time firing, and Sequential iterative repeated firing modes. Multiple breakpoints can be set by a business analyst and these will temporarily stop the execution of rules in Rule Debugger.
An optimal effort-accuracy mix for offshoreability analysis
He Miao examined the relative importance of variables and effort influencing IT application offshoreability analysis using statistical techniques. The objective was to arrive at an optimal effort-accuracy mix for offshoreability analysis. The project recommended a two-step analysis with a subset of variables (instead of the baseline full-blown all variables analysis). What has so far been in the realm of 'gut-feel' has been validated by He Miao's quantitative analysis.
Work is in progress to integrate the two-step analysis developed in this study as a best practice in the existing application analysis framework and tool.
Beyond Business
