Software Engineering 2014 Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering a volume of the Computing Curricula Series



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Software Process


Software process is concerned with providing appropriate and effective structures for the software engineering practices used to develop and maintain software components and systems at the individual, team, and organizational levels. This knowledge area covers various process models and supports individual and team experiences with one or more software development processes, including planning, execution, tracking, and configuration management.

Units and Topics


Reference

 

k,c,a

E,D

Hours

PRO

Software process

 

 

33

PRO.con

Process concepts

 

 

3

PRO.con.1

Themes and terminology

k

E

 

PRO.con.2

Software engineering process infrastructure (e.g., personnel, tools, and training)

k

E

 

PRO.con.3

Modeling and specification of software processes

c

E

 

PRO.con.4

Measurement and analysis of software processes

c

E

 

PRO.con.5

Software engineering process improvement (individual, team, and organization)

c

E

 

PRO.con.6

Quality analysis and control (e.g., defect prevention, review processes, quality metrics, and root cause analysis of critical defects to improve processes and practices)

c

E

 

PRO.con.7

Systems engineering life-cycle models

 

D

 

PRO.imp

Process implementation

 

 

8

PRO.imp.1

Levels of process definition (e.g., organization, project, team, and individual)

k

E

 

PRO.imp.2

Life-cycle model characteristics (e.g., plan-based, incremental, iterative, and agile)

c

E

 

PRO.imp.3

Individual software process (model, definition, measurement, analysis, and improvement)

a

E

 

PRO.imp.4

Team process (model, definition, organization, measurement, analysis, and improvement)

a

E

 

PRO.imp.5

Software process implementation in the context of systems engineering

k

E

 

PRO.imp.6

Process tailoring

k

E

 

PRO.imp.7

Effect of external factors (e.g., contract and legal requirements, standards, and acquisition practices) on software process

k

E

 

PRO.pp

Project planning and tracking

 

 

8

PRO.pp.1

Requirements management (e.g., product backlog, priorities, dependencies, and changes)

a

E

 

PRO.pp.2

Effort estimation (e.g., use of historical data and consensus-based estimation techniques)

a

E

 

PRO.pp.3

Work breakdown and task scheduling

a

E

 

PRO.pp.4

Resource allocation

c

E

 

PRO.pp.5

Risk management (e.g., identification, mitigation, remediation, and status tracking)

a

E

 

PRO.pp.6

Project tracking metrics and techniques (e.g., earned value, velocity, burndown charts, defect tracking, and management of technical debt)

a

E

 

PRO.pp.7

Team self-management (e.g., progress tracking, dynamic workload allocation, and response to emergent issues)

a

E

 

PRO.cm

Software configuration management

 

 

6

PRO.cm.1

Revision control

a

E

 

PRO.cm.2

Release management

c

E

 

PRO.cm.3

Configuration management tools

c

E

 

PRO.cm.4

Build processes and tools, including automated testing and continuous integration

a

E

 

PRO.cm.5

Software configuration management processes

k

E

 

PRO.cm.6

Maintenance issues

k

E

 

PRO.cm.7

Distribution and backup

 

D

 

PRO.evo

Evolution processes and activities

 

 

8

PRO.evo.1

Basic concepts of evolution and maintenance

k

E

 

PRO.evo.2

Working with legacy systems

k

E

 

PRO.evo.3

Refactoring

c

E

 


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