It is becoming more and more obvious that the software risks and complexity that face today’s legacy systems is a growing problem for many IT organizations. Are these legacy applications “Ever going to be replaced or retired? Are they “Too Big to Fail”? Added concern around many of these applications involves their size and architectural interconnectivity whereby their failure would prove disastrous to the entire business. There are few industries where this is more evident than the insurance industry. At our recent IT Executive Dinner with stakeholders from the Insurance industry, conversations were centered around application modernization, legacy application rationalization, and the funding mechanisms Insurance IT organizations use to improve their application assets.
Michael Furniss, Director of Software Quality Assurance and Testing COE at Coca-Cola’s Bottling Investment Group lead a discussion on how system level analysis improves dialog with application service providers. He shared his experience about how software analysis and measurement has enhanced his traditional process and tool landscape; leading to better identification of legacy SAP code vulnerabilities that can lead to performance and stability issues. Mr. Furniss outlined how Coca Cola has deployed this solution across their global organization and how it focuses development efforts to reduce risk and total ownership cost while keeping their executive sponsors and partners happy.
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If you would like to hear more from Coca-Cola watch this video: https://www.youtube.com/watch?v=gTg4IdO0o78
For many IT-intensive enterprises, the bloating cost of maintaining software applications may be the biggest elephant in the room. Software maintenance costs typically comprise up to 75% of the total cost of ownership of each application. With so much investment and energy dedicated to keeping the lights on, finding a way to better allocate IT resources — even just by a marginal amount — can have significant impact on the enterprise’s capacity to innovate.
CAST’s research into this area has uncovered some provocative findings. As we’ve discussed previously on the On Quality blog, the cost of maintaining a software application is directly proportional to its size and complexity. IT organizations can take several steps using static code quality analysis to reduce size and complexity, and thus diminish their software maintenance costs.
Avenue of The Americas in New York was awash with software quality metrics and quotes Thursday night as we celebrated our Software Quality Action Forum and AIP 7.3 Launch Party at the Eventi Hotel. Continue reading
CAST’s variant — the Software Analytics Matrix — outlines the four key archetypes found amongst IT analysts and the two simple variables which define them. Continue reading
Join CAST on Thursday, October 16th for a forum on operationalizing software analytics to confront the growing IT risk in a controlled and cost-effective manner. Continue reading
Research shows applications built using a mixture of Agile and Waterfall will result in more robust and secure applications than those built using either Agile or Waterfall alone. Continue reading