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Software configuration management (SCM), a.k.a. software change and configuration management (SCCM)[1], is the software engineering practice of tracking and controlling changes to a software system; part of the larger cross-disciplinary field of configuration management (CM).[2] SCM includes version control and the establishment of baselines.

Goals

The goals of SCM include:[citation needed]

With the introduction of cloud computing and DevOps the purposes of SCM tools have become merged in some cases. The SCM tools themselves have become virtual appliances that can be instantiated as virtual machines and saved with state and version. The tools can model and manage cloud-based virtual resources, including virtual appliances, storage units, and software bundles. The roles and responsibilities of the actors have become merged as well with developers now being able to dynamically instantiate virtual servers and related resources.[3]

History

The history of software configuration management (SCM) can be traced back as early as the 1950s, when CM (configuration management), originally for hardware development and production control, was being applied to software development. Early software had a physical footprint, such as cards, tapes, and other media. The first software configuration management was a manual operation. With the advances in language and complexity, software engineering, involving configuration management and other methods, became a major concern due to issues like schedule, budget, and quality. Practical lessons, over the years, had led to the definition, and establishment, of procedures and tools. Eventually, the tools became systems to manage software changes.[4] Industry-wide practices were offered as solutions, either in an open or proprietary manner (such as Revision Control System). With the growing use of computers, systems emerged that handled a broader scope, including requirements management, design alternatives, quality control, and more; later tools followed the guidelines of organizations, such as the Capability Maturity Model of the Software Engineering Institute.

See also

References

  1. ^ Gartner and Forrester Research
  2. ^ Roger S. Pressman (2009). Software Engineering: A Practitioner's Approach (7th International ed.). New York: McGraw-Hill.
  3. ^ Amies, A; Peddle S; Pan T M; Zou P X (June 5, 2012). "Develop cloud applications with Rational tools". IBM DeveloperWorks. IBM.
  4. ^ "1988 "A Guide to Understanding Configuration Management in Trusted Systems" National Computer Security System (via Google)

Further reading