Relevant bibliographies by topics / Software measurement. Computer software

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Software measurement. Computer software'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Software measurement. Computer software"

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Kearney, Joseph P., Robert L. Sedlmeyer, William B. Thompson, Michael A. Gray, and Michael A. Adler. "Software complexity measurement." Communications of the ACM 29, no. 11 (1986): 1044–50. http://dx.doi.org/10.1145/7538.7540.

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Quentin, G. "Review: Software Measurement." Computer Bulletin 39, no. 3 (1997): 28. http://dx.doi.org/10.1093/combul/39.3.28.

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Sargent, Eric W., Omar A. Fadhli, and Randall S. Cohen. "Measurement of Facial Movement With Computer Software." Archives of Otolaryngology–Head & Neck Surgery 124, no. 3 (1998): 313. http://dx.doi.org/10.1001/archotol.124.3.313.

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Kemerer, Chris F. "Software development productivity measurement." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 17, no. 4 (1986): 41. http://dx.doi.org/10.1145/1113523.1113533.

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Munson, John C. "Software measurement: Problems and practice." Annals of Software Engineering 1, no. 1 (1995): 255–85. http://dx.doi.org/10.1007/bf02249053.

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Hernández-López, Adrián, Ricardo Colomo-Palacios, Pedro Soto-Acosta, and Cristina Casado Lumberas. "Productivity Measurement in Software Engineering." International Journal of Information Technologies and Systems Approach 8, no. 1 (2015): 46–68. http://dx.doi.org/10.4018/ijitsa.2015010103.

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Productivity measurement is constructed by the measure of tree categories of elements: inputs, outputs and factors. This concept, which started being used in the manufacturing industry, has been also a research topic within Software Engineering (SE). In this area, the most used inputs are time and effort and the most used outputs are source code and functionality. Despite of their known limitations, many of the most used productivity measures are still being used due to the information that they provide for management goals. In order to enable the construction of new productivity measures for SE practitioners, the existence of other inputs apart from time and effort, and other outputs, apart from source code and functionality is analyzed in this paper. Moreover, differences in usage of the inputs and production of the outputs among some SE job positions are analyzed and explained.
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Igathinathane, C., V. S. S. Prakash, U. Padma, G. Ravi Babu, and A. R. Womac. "Interactive computer software development for leaf area measurement." Computers and Electronics in Agriculture 51, no. 1-2 (2006): 1–16. http://dx.doi.org/10.1016/j.compag.2005.10.003.

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Zhou, Yang, Omid Alipourfard, Minlan Yu, and Tong Yang. "Accelerating network measurement in software." ACM SIGCOMM Computer Communication Review 48, no. 3 (2018): 2–12. http://dx.doi.org/10.1145/3276799.3276800.

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Konrad, Erhard. "Software metrics, measurement theory, and viewpoints." ACM SIGPLAN Notices 26, no. 3 (1991): 53–62. http://dx.doi.org/10.1145/122167.122174.

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Tahir, Touseef, Ghulam Rasool, Waqar Mehmood, and Cigdem Gencel. "An Evaluation of Software Measurement Processes in Pakistani Software Industry." IEEE Access 6 (2018): 57868–96. http://dx.doi.org/10.1109/access.2018.2872956.

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Dissertations / Theses on the topic "Software measurement. Computer software"

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Ryder, Chris. "Software measurement for functional programming." Thesis, University of Kent, 2004. https://kar.kent.ac.uk/14117/.

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This thesis presents an investigation into the usefulness of software measurement techniques, also known as software metrics, for software written in functional programming languages such as Haskell. Statistical analysis is performed on a selection of metrics for Haskell programs, some taken from the world of imperative languages. An attempt is made to assess the utility of various metrics in predicting likely places that bugs may occur in practice by correlating bug fixes with metric values within the change histories of a number of case study programs. This work also examines mechanisms for visualising the results of the metrics and shows some proof of concept implementations for Haskell programs, and notes the usefulness of such tools in other software engineering processes such as refactoring.
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Kanik, Yusuf. "Software Project Scheduling, Software Project Performance Measurement And Control." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606362/index.pdf.

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This thesis is about software project scheduling and use of earned value method on software projects. As a result of the study, a solution for software project scheduling problems is proposed. A mathematical formulation, developed using integer programming method, is at the heart of the solution. Objective of the formulation is to minimize the development costs consisting of direct labor cost, indirect costs and probable penalty costs. The formulation takes the capability and compatibility variances among resources into account whereas contemporary approaches mostly focus on resource availability. Formulation is of type discrete time and takes the time span to be searched as input. Therefore a heuristic approach has been developed for providing time span input to the models developed using the formulation. The heuristic approach has been proven to be calculating a time span that does not hinder achieving the absolute optimum schedule and shortens the solution time of the integer programs. The heuristic approach and problem formulation have been incorporated into a computer program that generates integer programs and heuristic solutions. This thesis also describes a method for preparing an earned value plan, based on the scheduling solution defined. The method aims to help project managers in determining the status of their projects and deciding whether any corrective action is required or not. Besides the method, approaches for incorporating indirect costs and penalty costs, which are not explicitly discussed in literature, into final cost estimation have been described.
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Järvinen, Janne. "Measurement based continuous assessment of software engineering processes /." Espoo [Finland] : Technical Research Centre of Finland, 2000. http://www.vtt.fi/inf/pdf/publications/2000/P426.pdf.

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Ener, Aysun. "Measurement Based Software Process Improvement." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609107/index.pdf.

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This thesis is a study on improving the software requirements management processes of embedded software department of a company. The literature on software process improvement and requirements engineering is reviewed. After determining the problems related to the current requirements management processes of the department, an improved process is proposed addressing these problems. The static process descriptions and the models of the current and improved requirements management processes are formed. A recently proposed pre-enactment model for measuring process quality is used for measuring the quality of the current and improved requirements management processes. Finally, the results of the process quality measurements are compared and evaluated.
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Traino, Anthony J. "Automation of software development metrics." [Denver, Colo.] : Regis University, 2008. http://165.236.235.140/lib/ATraino2008.pdf.

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Terry, Carol G. "Analysis and implementation of software reuse measurement." Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-03302010-020346/.

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Rose, Julian H. M. "On the measurement of concurrent software designs." Thesis, University of the West of England, Bristol, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304067.

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Bainbridge, John Ralph. "A probablistic method for software product measurement." Thesis, London South Bank University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334389.

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Morris, Joseph C. "Identifying potential vulnerabilities in software designs." Virtual Press, 2007. http://liblink.bsu.edu/uhtbin/catkey/1380105.

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Software engineers currently rely on lengthy source code reviews, testing, and static analysis tools to attempt identification of software vulnerabilities. While these are sometimes effective, the methods used are limited and don't catch all security vulnerabilities.Work has been done in identifying areas of software prone to failure through a design metrics approach, and with success. This study aims to extend this idea to software security. The premise of this thesis is that the set of security vulnerabilities overlaps (or may be a subset of) the overall set of software bugs and failures. It is postulated that a good, reliable design should also be a secure design. This thesis identifies design issues which may lead to security vulnerabilities and proposes possible design metric enhancements to capture these design properties.<br>Department of Computer Science
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Zemerick, Jeffrey T. "Profiling, extracting, and analyzing dynamic software metrics." Morgantown, W. Va. : [West Virginia University Libraries], 2008. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5587.

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Thesis (M.S.)--West Virginia University, 2008.<br>Title from document title page. Document formatted into pages; contains ix, 58 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 44-50).
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Books on the topic "Software measurement. Computer software"

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Software Engineering Measurement. Taylor and Francis, 2003.

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Jones, Capers. Applied Software Measurement. McGraw-Hill, 2008.

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Software metrics: Measurement for software process improvement. NCC Blackwell, 1996.

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Software Metrics. Taylor & Francis Inc, 2003.

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Laird, Linda M. Software Measurement and Estimation. John Wiley & Sons, Ltd., 2006.

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Foundations of software measurement. Prentice Hall, 1995.

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Musa, John D. Software reliability: Measurement, prediction, application. McGraw-Hill, 1987.

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Anthony, Iannino, and Okumoto Kazuhira, eds. Software reliability: Measurement, prediction, application. McGraw-Hill, 1990.

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A, Kitchenham B., and Littlewood B, eds. Measurement for software control and assurance. Elsevier Applied Science, 1989.

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Grady, Robert B. Practical software metrics for project management and process improvement. Prentice Hall, 1992.

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Book chapters on the topic "Software measurement. Computer software"

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Sun, Fen, Yumei Wu, and Deming Zhong. "Process-Based Measurement on Airworthy Software." In Recent Advances in Computer Science and Information Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25789-6_31.

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Artemev, Vasilii, Vladimir Ivanov, Manuel Mazzara, et al. "An Architecture for Non-invasive Software Measurement." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74313-4_1.

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Fu, Jianping, Bin Liu, and Minyan Lu. "A Framework for Embedded Software Testability Measurement." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19853-3_15.

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Lv, Zhihan, Vicente Penades, Sonia Blasco, Javier Chirivella, and Pablo Gagliardo. "Intuitively Evaluating Balance Measurement Software Using Kinect2." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69694-2_8.

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Lei, Yu, Li Zhibo, Hou Xuemei, and Du Zhuping. "Software Process Measurement Based on Six Sigma." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24022-5_32.

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Huber, Ludwig, and Herbert Wiederoder. "Qualification and validation of software and computer systems in laboratories." In Validation in Chemical Measurement. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-27034-5_4.

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Huber, Ludwig. "Qualification and validation of software and computer systems in laboratories." In Validation in Chemical Measurement. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-27034-5_7.

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Huber, Ludwig. "Qualification and validation of software and computer systems in laboratories." In Validation in Chemical Measurement. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-27034-5_8.

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Huber, L. "Qualification and validation of software and computer systems in laboratories." In Validation in Chemical Measurement. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-27034-5_9.

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Emami, Mir Shahriar, Ghazali Bin Sulong, and Jasni Mohamad Zain. "A New Performance Trade-Off Measurement Technique for Evaluating Image Watermarking Schemes." In Software Engineering and Computer Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22170-5_49.

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Conference papers on the topic "Software measurement. Computer software"

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Rahman, B. M. A. "Computer modelling of photonic devices for optical measurements." In IEE Colloquium on Software in Measurement. IEE, 1996. http://dx.doi.org/10.1049/ic:19960873.

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Peng, Siwei, Limin Shen, Hiu Liu, and Feng Li. "User-Oriented Measurement of Software Flexibility." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.207.

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YongGang, Mei, and Ding JianJie. "Software Measurement Process Capability Maturity Model." In 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.453.

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Huang, Faliang, Yunfei Yin, and Zhiqiang Yao. "A Practical Model for Dynamic Software Measurement." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.1213.

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Guo, Xiaodong, and Li Meng. "Organization Application Oriented Software Process Measurement Model." In 2008 International Symposium on Computer Science and Computational Technology. IEEE, 2008. http://dx.doi.org/10.1109/iscsct.2008.280.

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Rui Hao, Xinguang Peng, and Lei Xiu. "Research of software dynamic trusted measurement method." In 2011 International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2011. http://dx.doi.org/10.1109/iccsnt.2011.6182503.

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Auprasert, Benjapol, and Yachai Limpiyakorn. "Structuring Cognitive Information for Software Complexity Measurement." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.713.

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Fu, Jianping, and Minyan Lu. "Request-Oriented Method of Software Testability Measurement." In 2009 International Conference on Information Technology and Computer Science (ITCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/itcs.2009.154.

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Yu, Hong, Liu Xiao-Ming, Huang Song, and Zheng Chang-You. "Data Oriented Software Security Testing." In 2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE, 2012. http://dx.doi.org/10.1109/imccc.2012.164.

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Chunmei, Zhou, Zhang Chunxia, Dong Wenjie, Zhang Jun, and Lin Jinyong. "Design of EMP Test Software of Flight Control Computer." In 2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE, 2012. http://dx.doi.org/10.1109/imccc.2012.356.

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Reports on the topic "Software measurement. Computer software"

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Vargo, G. F. Jr Westinghouse Hanford. Surface moisture measurement system computer software design description. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/659236.

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Humphrey, Watts S. CASE (Computer-Aided Software Engineering) Planning and the Software Process. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada219066.

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Story, Alan. Intellectual Property and Computer Software. International Centre for Trade and Sustainable Development, 2004. http://dx.doi.org/10.7215/ip_ip_20040501d.

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Majewski, R. Computer Software End Product Documentation,. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada361247.

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Bloom, Howard M. Software and computer integrated manufacturing. National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.4468.

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McCall, James A., William Randell, Janet Dunham, and Linda Lauterbach. Software Reliability, Measurement, and Testing Software Reliability and Test Integration. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256242.

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McAndrews, Donald R. Establishing a Software Measurement Process. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada267896.

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McCall, James A., William Randell, Janet Dunham, and Linda Lauterbach. Software Reliability, Measurement, and Testing. Volume 2. Guidebook for Software Reliability Measurement and Testing. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256164.

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Silvan, G. R. PFP MICON DCS computer software documentation. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/483529.

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Juntti, Thomas M., and Mark A. Rumble. Arc Habitat Suitability Index computer software. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2006. http://dx.doi.org/10.2737/rmrs-gtr-180.

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