https://dspace.mit.edu/handle/1721.1/79551 MIT Libraries homeMIT Libraries logoDSpace@MIT MIT View Item * DSpace@MIT Home * MIT Libraries * MIT Theses * Doctoral Theses * View Item * DSpace@MIT Home * MIT Libraries * MIT Theses * Doctoral Theses * View Item JavaScript is disabled for your browser. Some features of this site may not work without it. Toggle navigation System design and the cost of architectural complexity Author(s) Sturtevant, Daniel Joseph Thumbnail DownloadFull printable version (14.42Mb) Other Contributors Massachusetts Institute of Technology. Engineering Systems Division. Advisor Alan D. MacCormack. Terms of use M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Metadata Show full item record Abstract Many modern systems are so large that no one truly understands how they work. It is well known in the engineering community that architectural patterns (including hierarchies, modules, and abstraction layers) should be used in design because they play an important role in controlling complexity. These patterns make a system easier to evolve and keep its separate portions within the bounds of human understanding so that distributed teams can operate independently while jointly fashioning a coherent whole. This study set out to measure the link between architectural complexity (the complexity that arises within a system due to a lack or breakdown of hierarchy or modularity) and a variety of costs incurred by a development organization. A study was conducted within a successful software firm. Measures of architectural complexity were taken from eight versions of their product using techniques recently developed by MacCormack, Baldwin, and Rusnak. Significant cost drivers including defect density, developer productivity, and staff turnover were measured as well. The link between cost and complexity was explored using a variety of statistical techniques. Within this research setting, we found that differences in architectural complexity could account for 50% drops in productivity, three-fold increases in defect density, and order-of-magnitude increases in staff turnover. Using the techniques developed in this thesis, it should be possible for firms to estimate the financial cost of their complexity by assigning a monetary value to the decreased productivity, increased defect density, and increased turnover it causes. As a result, it should be possible for firms to more accurately estimate the potential dollar-value of refactoring efforts aimed at improving architecture. Description Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 159-166). Date issued 2013 URI http://hdl.handle.net/1721.1/79551 Department Massachusetts Institute of Technology. Engineering Systems Division Publisher Massachusetts Institute of Technology Keywords Engineering Systems Division. --------------------------------------------------------------------- Collections * Doctoral Theses Show Statistical Information [ ] (*)Search DSpace ( )This Collection Browse All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitles SubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects My Account Login Statistics OA StatisticsStatistics by CountryStatistics by Department MIT Libraries homeMIT Libraries logo Find us on Twitter Facebook Instagram YouTube RSS MIT Libraries navigation SearchHours & locationsBorrow & requestResearch supportAbout us PrivacyPermissionsAccessibility MIT Massachusetts Institute of Technology Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.