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Will SDLC Acceleration Ultimately Deliver Defects to Customers Faster?

How to increase SDLC speed without compromising quality expectations

PIE-cartoonThere is no doubt that software is rapidly becoming the primary source for business differentiation. Organizations that are able to increase the speed and quality of innovative software releases will capitalize on differentiable competitive advantages; those that cannot will languish behind competitors.

If you need to increase SDLC speed without compromising quality expectations, join us on 3.14, National Pi Day, to learn how Parasoft’s Process Intelligence Engine (PIE) can help you achieve your goals. By collecting, correlating and analyzing disparate data scattered throughout the SDLC, Parasoft PIE identifies business risks and highlights opportunities for process improvement. This system of decision delivers actionable tasks that help development teams mitigate risks before they progress to the next stage of the SDLC.

At the Pi Day webinar, you'll get a first-hand look at how Parasoft's unique intelligence engine that collects raw observations throughout the SDLC (source code, defects, build, requirements, ALM, test management…) and delivers “prioritized findings” that significantly reduce the risks associated with a software release candidate.

Why Do You Love Pi?
In preparation for Pi Day and to celebrate Parasoft's Process Intelligence Engine (PIE), we're giving away 31.4 Raspberry Pi's (and destroying a few along the way). Parasoft wants to know: Why do you love pie (or pi)? To enter, tweet your response with #parasoftpie

 

 

More Stories By Cynthia Dunlop

Cynthia Dunlop, Lead Content Strategist/Writer at Tricentis, writes about software testing and the SDLC—specializing in continuous testing, functional/API testing, DevOps, Agile, and service virtualization. She has written articles for publications including SD Times, Stickyminds, InfoQ, ComputerWorld, IEEE Computer, and Dr. Dobb's Journal. She also co-authored and ghostwritten several books on software development and testing for Wiley and Wiley-IEEE Press. Dunlop holds a BA from UCLA and an MA from Washington State University.

IoT & Smart Cities Stories
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To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
"The Striim platform is a full end-to-end streaming integration and analytics platform that is middleware that covers a lot of different use cases," explained Steve Wilkes, Founder and CTO at Striim, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
"MobiDev is a Ukraine-based software development company. We do mobile development, and we're specialists in that. But we do full stack software development for entrepreneurs, for emerging companies, and for enterprise ventures," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...