You may be familiar with preventive testing i.e. creating and reviewing test designs early to improve functional requirements, test designs, and stakeholder understanding. Unfortunately, test designs only describe functionality . There are other (internal) qualities such as code predictability or compliance with design guidelines that need to be assessed. Therefore, other verification tactics are needed.

Verification entails assessment of compliance with all requirements. It includes all forms of testing as well as technical reviews, verification-focused analysis, verification-focused measurement, and operational monitoring. A verification strategy is comprised of verification tactics that together assess whether a solution complies with its requirements and goals.

This presentation describes the value of early development and technical review of verification strategies i.e. the value of preventive verification. Such reviews may reveal mismatched understandings and expectations as well as defects in requirements and verification strategies. Preventive verification includes preventive testing.

Event ID: C018170403DW

Webinar runs from 12:00-1:00pm CST

URL: 
http://pmi.adobeconnect.com/r2q8k8b9ogc/

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David Gelperin is Chief Technology Officer & President of ClearSpecs Enterprises. He has more than 40 years experience in software engineering with an emphasis on system requirements and software quality, verification, and testing (SQVT).

During the last 10 years, David has focused on requirements specification and verification. Before that, David was an SQVT consultant/mentor and instructor (16 yrs), quality support manager (5 yrs), verification lead (2 yrs), project lead (2 yrs), and programmer (5 yrs). He has consulted for both commercial and in-house software development organizations.

In 1986, David co-founded Software Quality Engineering (www.sqe.com, www.stickyminds.com), the leading provider of software quality information worldwide. He also catalyzed the launch of Better Software magazine.

After majoring in math at Carleton College (1964), David received an MS (1970) and PhD (1973) in Computer Science from the Ohio State University.