Difference between revisions of "Chapter 15: Engineering Foundations"
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Revision as of 18:33, 28 August 2015
- CAD
- Computer-Aided Design
- CMMI
- Capability Maturity Model Integration
- Probability Density Function
- pmf
- Probability Mass Function
- RCA
- Root Cause Analysis
- SDLC
- Software Development Life Cycle
IEEE defines engineering as “the application of a systematic, disciplined, quantifiable approach to structures, machines, products, systems or processes” [1]. This chapter outlines some of the engineering foundational skills and techniques that are useful for a software engineer. The focus is on topics that support other KAs while minimizing duplication of subjects covered elsewhere in this document.
As the theory and practice of software engineering matures, it is increasingly apparent that software engineering is an engineering discipline that is based on knowledge and skills common to all engineering disciplines. This Engineering Foundations knowledge area (KA) is concerned with the engineering foundations that apply to software engineering and other engineering disciplines. Topics in this KA include empirical methods and experimental techniques; statistical analysis; measurement; engineering design; modeling, prototyping, and simulation; standards; and root cause analysis. Application of this knowledge, as appropriate, will allow software engineers to develop and maintain software more efficiently and effectively. Completing their engineering work efficiently and effectively is a goal of all engineers in all engineering disciplines.
The breakdown of topics for the Engineering Foundations KA is shown in Figure 15.1.
