Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Empirical Software Engineering Models: Can They Become the Equivalent of Physical Laws in Traditional Engineering? Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

Moving Toward Evidence-Based Software Production

verfasst von : David M. Weiss, James Kirby Jr., Robyn R. Lutz

Erschienen in: Perspectives on the Future of Software Engineering

Verlag: Springer Berlin Heidelberg

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Computer software is increasingly critical to the products, infrastructure, and science upon which society depends. However, the production of society’s software is known to be problematic. Current understanding of software production, largely based on anecdotes, is inadequate. Achieving the deeper understanding needed to transform software production experiences into software production improvements requires collecting and using evidence on a large scale. This paper proposes some steps toward that outcome, with particular attention to what government can do to stimulate software engineering studies that will advance the capabilities of software production.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel A Personal Perspective on the Evolution of Empirical Software Engineering
Nächstes Kapitel Skating to Where the Puck Is Going: Future Systems and Software Engineering Opportunities and Challenges
Fußnoten
1
Occupational data for Table 2 and Figs. 1, 2, 3, 4, 5, 6, 7, 8, and 9 comes from [11].
 
Literatur
1.
National Research Council: Critical Code: Software Producibility for Defense. The National Academies Press, Washington, DC (2010a)
2.
Markoff, J.: Google cars drive themselves, in traffic. New York Times, 9 Oct 2010
3.
4.
National Research Council: Measuring and Sustaining the New Economy, Software, Growth, and the Future of the U.S. Economy. The National Academies Press, Washington, DC (2010b)
5.
Institute for Defense Analyses.: Assessment of DoD enterprise resource planning business systems (2011)
6.
Fast Track Action Committee on Computational Modeling and Simulation, Committee on Technology, National Science and Technology Council.: Simulation-Based Engineering and Science for Discovery and Innovation (2010)
7.
President’s Council of Advisors on Science and Technology.: Leadership Under Challenge: Information Technology R&D in a Competitive World (2007)
8.
Kirby, J., Weiss, D., Lutz, R.: Evidence-based software production. In: Future of Software Engineering Research Workshop, pp. 191–194. Santa Fe (2010)
9.
National Institute of Standards & Technology.: The economic impacts of inadequate infrastructure for software testing. Planning report 02–3 (2002)
10.
Gawande, A.: How the Senate bill would contain the cost of health care. The New Yorker. 17 Dec 2009
11.
U.S. Bureau of Labor Statistics.: Industry-occupation matrix data, by occupation. http:www.bls.gov/emp/ep_table_108.htm (2012)
12.
13.
14.
Jackson, D., Thomas, M., Millett, L.I. (eds.): Software for Dependable Systems: Sufficient Evidence? Committee on Certifiably Dependable Software Systems, National Research Council (2007)
15.
SIGSOFT Software Engineering Notes. Risks to the public
16.
Kitchenham, B., Dyba, T., Jørgensen, M.: Evidence-based Software Engineering. In: Proceedings of the 26th ICSE, Edinburgh, pp. 273–281 (2004)
17.
Barr, E., Bird, C., Hyatt, E., Menzies, T., Robies, G.: On the shoulders of giants. In: Future of Software Engineering Research Workshop. Santa Fe (2010)
18.
National Research Council: Continuing Innovation in Information Technology. The National Academies Press, Washington, DC (2010c)
19.
20.
Kuhn, D.R.: Sources of failure in the public switched telephone network. IEEE Comput. 30(4), 31–36 (1997)CrossRef
21.
Basili, V., Caldiera, G., McGarry, F., et al.: The software engineering laboratory: an operational software experience factory. In: Proceedings of the 14th ICSE, Melbourne, pp. 370–381 (1992)
22.
Basili, V., Rombach, H.D.: The TAME project: towards improvement-oriented software environments. IEEE Trans. Softw. Eng. SE-14(6), 758–773 (1988)CrossRef
23.
24.
Denning, P.: The great principles of computing. Am. Sci., Sept–Oct 2010
25.
26.
Boehm, B.: Software Engineering Economics. Prentice-Hall, Englewood Cliffs (1981)MATH
27.
28.
Parnas, D.L., Clements, P.C.: A rational design process: how and why to fake it. IEEE Trans. Softw. Eng. SE-12, 251–257 (1986)CrossRef
29.
Hackbarth, R., Palframan, J., Mockus, A., Weiss, D.: Assessing the state of software in a large enterprise. Empirical Softw. Eng. 15(3), 219–249 (2010)CrossRef
30.
Grady, R., Caswell, D.: Software Metrics: Establishing a Company-Wide Program. Prentice Hall, Englewood Cliffs (1987)
31.
32.
Boehm, B.: A spiral model of software development and enhancement. SIGSOFT SEN 11(4), 14–24 (1986)
33.
Weiss, D., Lai, C.R.T.: Software Product Line Engineering. Addison-Wesley, Boston (1999)
34.
Fenton, N.E., Pfleeger, S.L.: Software Metrics: A Rigorous and Practical Approach, 2nd edn. Course Technology (1998)
35.
Lutz, R., Lavin, M., Lux, J., Peters, K., Rouquette, N.: Mining requirements knowledge from operational experience. In: Maalej, W., Thurimella, A.K. (eds.) Managing Requirements Knowledge. Springer, New York (2013)
36.
Basili, V., Weiss, D.: Evaluating software development by analysis of changes: some data from the software engineering laboratory. IEEE Trans. Softw. Eng. 11(2), 157–168 (1985)
37.
Basili, V., Caldiera, G., Rombach, H.D.: Goal question metric approach. In: Encyclopedia of Software Engineering, pp. 528–532. Wiley (1994)
38.
39.
Rombach, H.D., Achatz, R.: Research collaborations between academia and industry. FOSE 2007, pp. 29–36 (2007)
40.
President’s Council of Advisors on Science and Technology: Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology. President’s Council of Advisors on Science and Technology (PCAST), Washington, DC (2013)
41.
Lutz, R., Mikulski, C.: Empirical analysis of safety-critical anomalies during operations. IEEE Trans. Softw. Eng. 30(3), 172–180 (2004)CrossRef
Metadaten
Titel
Moving Toward Evidence-Based Software Production
verfasst von
David M. Weiss
James Kirby Jr.
Robyn R. Lutz
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Perspectives on the Future of Software Engineering

Print ISBN: 978-3-642-37394-7

Electronic ISBN: 978-3-642-37395-4

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-37395-4_18

Premium Partner

    Bildnachweise