In these days of rapid technology
changes, companies are facing a compelling need to make their products
and services available on newer and more advanced platforms. Siri's
Software Migration and Re-engineering Technology (SMaRT) services
help our clients in migrating or re-engineering existing systems,
in a reliable and cost-effective manner.
Our migration tools range from simple code parsers
to complex data-schema generators to highly sophisticated build
environment generators. These lower the execution costs significantly,
while simultaneously reducing cycle times.
Our strong re-engineering discipline enables our clients
to leverage newer technologies that provide flexibility and faster
time-to-market. Our team of business and technology analysts assesses
our clients' re-engineering requirements, and provides recommendations
on the best and the quickest course to achieve that.
Our skilled and experienced engineering wing collaborates
with clients in implementing the recommendations quickly and cost-effectively.
Software testing is one of the most neglected aspects
of the development life cycle, even though it is the one element
between business success and disaster at the market. Our Software
Testing and Risk Management (STReaM) service is a formal, structured,
methodical and complete solution to any software testing requirement.
Our risk management professionals conduct a series
of question-answer sessions with key client personnel, to identify
potential software risks. After studying and assessing the possible
impacts of these risks, we recommend appropriate mitigation procedures
to overcome them.
Our QA professionals have complete understanding of
software architecture, design and development issues and nuances.
We work closely with the development teams from the conception phase
on, providing invaluable inputs on requirements qualification and
Our STReaM services cover black box testing for functional
and non-functional requirements, such as volume, stress and performance
testing, white box testing, including coverage analysis and stylistic
recommendations, and test automation