Back in August, "CIO Zone" posted a blog outlining the top five cloud computing trends. Smack-dab in the middle of the top five was this one: "Custom cloud computing services," which delved into how outsourced IT organizations must focus on automated software and become experts in migrating to SaaS, PaaS and IaaS in order to ensure the least painful cloud migrations. It brought to mind how, in an effort to save money, so many businesses blindly hand over their whatever-it-is-to-be-done to outsourcers and hope for the best.
All you football fans might recognize this as a "Hail Mary."
In football, the Hail Mary has only a 5 to 10 percent chance of success, but desperate times call for desperate measures, so teams go for it. In business, however, lobbing one up and hoping for the best has no place, especially as it applies to outsourcing software builds. Relinquishing control over a software build can almost certainly yield quality degradation or compromised structural quality that promise a world of hurt in the form of technical debt or lack of security.
And, to be clear, quality problems are not necessarily due to sub-par outsourcers who couldn't care less about building a quality application. Communication issues or cultural differences — as in the case of overseas outsourcing — can play a big part in compromising quality. Fortunately, static analysis can catch code imperfections before applications are deployed.
But the benefits of static analysis go way beyond just catching a bad line of code. They also grant greater visibility into how the software is built — from soup to nuts. For example, static analysis can provide insight into whether an application is being complicated with 100 lines of code when one would suffice. It sheds light on whether the outsourcer's code includes repetitive processes, or if he is "coding in circles" (i.e., incorporating a process, negating it, then coding it back in). This ability to focus on the structural quality of the application as it is being built practically guarantees the application's overall health, which encompasses not only performance and security, but also ease of customization and transferability (for further upgrades or customization). In fact, think of this visibility as micro-managing a build project without having to be on site.
It's clear that greater visibility into an outsourced software project is critical to quash quality issues, but it can also ensure a project will be delivered on time and within budget. For example, when an outsourcer builds in extra, unneeded code, he drags out the project and its cost. More visibility into the build enables the supervision required to curb these unnecessary costs.
The visibility into the process is no doubt a benefit to companies, but lest it seem like a yoke around the outsourcers neck, the type of scrutiny that comes with static analysis tools can be a value-add for the outsourcer too. Greater visibility into the application as it's being built will very likely streamline the process, ensure a flawless application and result in a very satisfactory product...which in turn could mean more business for the outsourcer in the future.
Structural quality of applications doesn't have to be a casualty of outsourcing. When increased visibility into the project ensures cost and quality expectations are met, we can leave the Hail Marys to the football field.
Erik Oltmans, an Associate Partner from EY, Netherlands, spoke at the Software Intelligence Forum on how the consulting behemoth uses Software Intelligence in its Transaction Advisory services.
Erik describes the changing landscape of M & A. Besides the financial and commercial aspects, PE firms now equally value technical assessments, especially for targets with significant software assets. He goes on to detail how CAST Highlight makes these assessments possible with limited access to the targetâ€™s systems, customized quality metrics, and liability implications of open source components - all three that are critical for an M&A due diligence.