Programming productivity: Difference between revisions

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Latest revision as of 17:49, 24 August 2025

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* the manufacturing process for a single product or group of related products;

* the factory; and

* the company’scompany's entire factory system

As long classical production processes are considered a straightforward metric of productivity is simple: how many units of a product of specified quality is produced by which costs. For intellectual work, productivity is much trickier. How do we measure the productivity of authors, scientists, or engineers? Due to the rising importance of [[knowledge work]] (as opposed to manual work),<ref name="drucker1999">Drucker, P. F. Knowledge-Worker Productivity: The Biggest Challenge. California Management Review, 1999, 41, 79-94</ref> many researchers tried to develop productivity measurement means that can be applied in a non-manufacturing context. It is commonly agreed that the nature of knowledge work fundamentally differs from manual work and, hence, factors besides the simple output/input ratio need to be taken into account, e.g. quality, timeliness, autonomy, project success, customer satisfaction and innovation. However, the research communities in neither discipline have been able to establish broadly applicable and accepted means for productivity measurement yet.<ref name="ramirez2004">Ramírez, Y. W., Nembhard, D. A. Measuring knowledge worker productivity: A taxonomy. Journal of Intellectual Capital, 2004, 5, 602-628</ref> The same holds for more specific area of programming productivity.

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===Performance===

The term performance is even broader than productivity and profitability and covers a plethora of factors that influence a company’scompany's success. Hence, well-known performance controlling instruments like the [[Balanced Scorecard]] do include productivity as a factor that is central but not unique. Other relevant factors are e.g. the customers’ or stakeholders’ perception of the company.

===Efficiency and effectiveness===

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* ''Estimating Software Costs'', [[Capers Jones]], McGraw-Hill, 2007. {{ISBN|978-0-07-148300-1}}.

[[Category:Productivity]]

[[Category:Production economics]]

[[Category:Software engineering costs]]

[[Category:Software project management]]