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Analytics for software development

Published: 07 November 2010 Publication History

Abstract

Despite large volumes of data and many types of metrics, software projects continue to be difficult to predict and risky to conduct. In this paper we propose software analytics which holds out the promise of helping the managers of software projects turn their plentiful information resources, produced readily by current tools, into insights they can act on. We discuss how analytics works, why it's a good fit for software engineering, and the research problems that must be overcome in order to realize its promise.

References

[1]
T. Addison and S. Vallabh. Controlling software project risks: an empirical study of methods used by experienced project managers. In SAICSIT '02, pages 128--140, 2002.
[2]
V. R. Basili, F. Shull, and F. Lanubile. Building knowledge through families of experiments. IEEE Transactions on Software Engineering, 25:456--473, 1999.
[3]
J. T. Biehl, M. Czerwinski, G. Smith, and G. G. Robertson. Fastdash: a visual dashboard for fostering awareness in software teams. In CHI '07, pages 1313--1322, 2007.
[4]
C. Bird, N. Nagappan, P. Devanbu, H. Gall, and B. Murphy. Does distributed development a effect software quality?: an empirical case study of windows vista. Commun. ACM, 52(8):85--93, 2009.
[5]
B. Boehm. Software Cost Estimation with Cocomo II. Addison Wesley, Boston, MA, 2000.
[6]
B. Boehm and R. Ross. Theory-w software project management principles and examples. IEEE TSE, 15(7):902--916, jul 1989.
[7]
R. P. L. Buse and W. R. Weimer. A metric for software readability. In International Symposium on Software Testing and Analysis, pages 121--130, 2008.
[8]
I. D. Coman, A. Sillitti, and G. Succi. A case-study on using an automated in-process software engineering measurement and analysis system in an industrial environment. In ICSE '09, pages 89--99, 2009.
[9]
T. Davenport, J. Harris, and R. Morison. Analytics at Work. Harvard Business School Publishing Corporation, Boston, MA, 2010.
[10]
G. Gousios and D. Spinellis. Alitheia core: An extensible software quality monitoring platform. In ICSE '09, pages 579--582, 2009.
[11]
IBM Corporation. Jazz. http://www.ibm.com/software/rational/jazz/.
[12]
P. Johnson, H. Kou, M. Paulding, Q. Zhang, A. Kagawa, and T. Yamashita. Improving software development management through software project telemetry. IEEE Software, 22(4):76--85, july-aug. 2005.
[13]
A. Kaushik. Web Analytics 2.0. Wiley Publishing, 2010.
[14]
A. J. Ko, R. DeLine, and G. Venolia. Information needs in collocated software development teams. In ICSE'07: Proceedings of the International Conference on Software Engineering, pages 344--353, 2007.
[15]
S. Komi-Sirvi, P. Parviainen, and J. Ronkainen. Measurement automation: Methodological background and practical solutions-a multiple case study. In IEEE International Symposium on Software Metrics, page 306, 2001.
[16]
T. J. McCabe. A complexity measure. IEEE Trans. Software Eng., 2(4):308--320, 1976.
[17]
A. Mockus, P. Zhang, and P. L. Li. Predictors of customer perceived software quality. In ICSE '05, 225--233, 2005.
[18]
I. Myrtveit, E. Stensrud, and M. Shepperd. Reliability and validity in comparative studies of software prediction models. IEEE Trans. Softw. Eng., 31(5):380--391, 2005.
[19]
National Institute of Standards and Technology. The economic impacts of inadequate infrastructure for software testing. Technical Report 02-3, Research Triangle Institute, May 2002.
[20]
J. Sillito, G. C. Murphy, and K. De Volder. Questions programmers ask during software evolution tasks. In SIGSOFT '06/FSE-14, pages 23--34, 2006.
[21]
A. Sillitti, A. Janes, G. Succi, and T. Vernazza. Collecting, integrating and analyzing software metrics and personal software process data. In EUROMICRO, page 336, 2003.
[22]
S. Sinofsky. Steven sinofsky's microsoft techtalk / pm at microsoft. http://blogs.msdn.com/b/techtalk/archive/ 2005/12/16/504872.aspx, Dec. 2005.
[23]
L. Strigini. Limiting the dangers of intuitive decision making. IEEE Software, 13:101--103, 1996.
[24]
C. Treude and M.-A. Storey. Awareness 2.0: staying aware of projects, developers and tasks using dashboards and feeds. In ICSE '10, pages 365--374, 2010.
[25]
J. D. Valett and F. E. McGarry. A summary of software measurement experiences in the software engineering laboratory. Journal of Systems and Software, 9(2):137--148, 1989.
[26]
L. Wallace, M. Keil, and A. Rai. Understanding software project risk: a cluster analysis. Inf. Manage., 42(1):115--125, 2004.
[27]
T. Zimmermann, N. Nagappan, H. Gall, E. Giger, and B. Murphy. Cross-project defect prediction. In Symposium on the Foundations of Software Engineering, August 2009.

Cited By

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  • (2023)On Adopting Software Analytics for Managerial Decision-Making: A Practitioner’s PerspectiveIEEE Access10.1109/ACCESS.2023.329482311(73145-73163)Online publication date: 2023
  • (2022)Empirically Derived Use Cases for Software Analytics2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM55329.2022.9911514(1-6)Online publication date: 22-Sep-2022
  • (2022)Use Cases for Software Development Analytics: A Case StudyProceedings of the XXXVI Brazilian Symposium on Software Engineering10.1145/3555228.3555239(388-397)Online publication date: 5-Oct-2022
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cover image ACM Conferences
FoSER '10: Proceedings of the FSE/SDP workshop on Future of software engineering research
November 2010
460 pages
ISBN:9781450304276
DOI:10.1145/1882362
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 November 2010

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Author Tags

  1. analytics
  2. project management

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Cited By

View all
  • (2023)On Adopting Software Analytics for Managerial Decision-Making: A Practitioner’s PerspectiveIEEE Access10.1109/ACCESS.2023.329482311(73145-73163)Online publication date: 2023
  • (2022)Empirically Derived Use Cases for Software Analytics2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM55329.2022.9911514(1-6)Online publication date: 22-Sep-2022
  • (2022)Use Cases for Software Development Analytics: A Case StudyProceedings of the XXXVI Brazilian Symposium on Software Engineering10.1145/3555228.3555239(388-397)Online publication date: 5-Oct-2022
  • (2022)Optimization of Software Release Planning Considering Architectural Dependencies, Cost, and ValueIEEE Transactions on Software Engineering10.1109/TSE.2020.302001348:4(1369-1384)Online publication date: 1-Apr-2022
  • (2022)Human Aspects in Software Development: A Systematic Mapping StudyCollaboration Technologies and Social Computing10.1007/978-3-031-20218-6_1(1-22)Online publication date: 23-Oct-2022
  • (2021)Extracting Arguments Based on User Decisions in App ReviewsIEEE Access10.1109/ACCESS.2021.30670009(45078-45094)Online publication date: 2021
  • (2021)Software Engineering Analytics—The Need of Post COVID-19 Business: An Academic ReviewComputational Management10.1007/978-3-030-72929-5_11(231-251)Online publication date: 30-May-2021
  • (2020)Improving app quality despite flawed mobile analyticsProceedings of the IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems10.1145/3387905.3388603(21-22)Online publication date: 13-Jul-2020
  • (2020)How Can Software Testing be Improved by Analytics to Deliver Better Apps?2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW50294.2020.00072(408-410)Online publication date: Oct-2020
  • (2020)How Can Software Testing be Improved by Analytics to Deliver Better Apps?2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST)10.1109/ICST46399.2020.00052(418-420)Online publication date: Oct-2020
  • Show More Cited By

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