The long‐term growth rate of evolving software: Empirical results and implications. Issue 5 (16th February 2017)

• Record Type: Journal Article
• Authors: Hatton, Les; Spinellis, Diomidis; van Genuchten, Michiel
• Is Part Of: Journal of software. Volume 29:Issue 5(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-02-16
• Subjects: CAGR -- code growth rate -- compound annual growth rate -- empirical study -- software evolution; Software engineering -- Periodicals; Computer software -- Development -- Periodicals; Software maintenance -- Periodicals; 005.1
• DOI: 10.1002/smr.1847
• Languages: English
• ISSNs: 2047-7473

Abstract

Abstract: The amount of code in evolving software‐intensive systems appears to be growing relentlessly, affecting products and entire businesses. Objective figures quantifying the software code growth rate bounds in systems over a large time scale can be used as a reliable predictive basis for the size of software assets. We analyze a reference base of over 404 million lines of open source and closed software systems to provide accurate bounds on source code growth rates. We find that software source code in systems doubles about every 42 months on average, corresponding to a median compound annual growth rate of 1.21 ± 0.01. Software product and development managers can use our findings to bound estimates, to assess the trustworthiness of road maps, to recognise unsustainable growth, to judge the health of a software development project, and to predict a system's hardware footprint.