Bob Raczynski
Member for
18 years 3 monthsBob Raczynski is a Software Quality Assurance Manager at Lockheed Martin Space Systems Company (SSC). He holds a Masters degree in Applied Computer Science and a Bachelors degree in Electronics Engineering Technology. Prior to his current position, he worked in engineering and quality roles at AT&T Bell Labs, Motorola, and Siemens. He is an ASQ Certified Software Quality Engineer (CSQE) and IEEE Computer Society member.
Bob Raczynski is a Software Quality Assurance Manager at Lockheed Martin Space Systems Company (SSC). He holds a Masters degree in Applied Computer Science and a Bachelors degree in Electronics Engineering Technology. Prior to his current position, he worked in engineering and quality roles at AT&T Bell Labs, Motorola, and Siemens. He is an ASQ Certified Software Quality Engineer (CSQE) and IEEE Computer Society member.
All Articles by Bob Raczynski
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| Is Statistical Process Control Applicable to Software Development Processes? Statistical Process Control (SPC) has been an integral component of the Software Engineering Institute's (SEI's) maturity models for about nineteen years. This article describes an intellectual journey in which the primacy of SPC applied to software development processes is challenged. |
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| Could the Software Engineering Institute be Wrong About Statistical Process Control? Statistical Process Control (SPC)-is it appropriate for a software development organization? If you're asking yourself this question, you're not alone. The application of SPC has a great track record in the arena of physical product manufacturing, but are these concepts as portable to engineering and digital product manufacturing processes as much published literature, and many consultants, would have us believe? This presentation will discuss a profound realization made during the road to CMMI (Capability Maturity Model Integrated) maturity level 5 which was attained in October, 2005 at Lockheed Martin Integrated Systems and Solutions (IS&S). The presentation will also provide guidance on how to determine whether SPC is appropriate for a given process or not. |