Skip to main content
Erschienen in: Empirical Software Engineering 6/2018

23.05.2018

Using human error information for error prevention

verfasst von: Wenhua Hu, Jeffrey C. Carver, Vaibhav Anu, Gursimran S. Walia, Gary L. Bradshaw

Erschienen in: Empirical Software Engineering | Ausgabe 6/2018

Einloggen

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

search-config
loading …

Abstract

Developing error-free software requirements is of critical importance to the success of a software project. Problems that occur during requirements collection and specification, if not fixed early, are costly to fix later. Therefore, it is important to develop techniques that help requirements engineers detect and prevent requirements problems. As a human-centric activity, requirements engineering can be influenced by psychological research about human errors, which are the failings of human cognition during the process of planning and executinge a task. We have employed human error research to describe the types of problems that occur during requirements engineering. The goals of this research are: (1) to evaluate whether understanding human errors contributes to the prevention of errors and concomitant faults during requirements engineering and (2) to identify error prevention techniques used in industrial practice. We conducted a controlled classroom experiment to evaluate the benefits that knowledge of errors has on error prevention. We then analyzed data from two industrial surveys to identify specific prevention and mitigation approaches employed in practice. The classroom study showed that the better a requirements engineer understands human errors, the fewer errors and concomitant faults that engineer makes when developing a new requirements document. Furthermore, different types of Human Errors have different impacts on fault prevention. The industry study results identified prevention and mitigation mechanisms for each error type. Human error information is useful for fault prevention during requirements engineering. There are practices that requirements engineers can employ to prevent or mitigate specific human errors.

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

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!

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!

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!

Literatur
Zurück zum Zitat Card DN (1998) Learning from our mistakes with defect causal analysis. IEEE Softw 15(1):56–63CrossRef Card DN (1998) Learning from our mistakes with defect causal analysis. IEEE Softw 15(1):56–63CrossRef
Zurück zum Zitat Chen JC, Huang SJ (2009) An empirical analysis of the impact of software development problem factors on software maintainability. J Syst Softw 82(6):981–992CrossRef Chen JC, Huang SJ (2009) An empirical analysis of the impact of software development problem factors on software maintainability. J Syst Softw 82(6):981–992CrossRef
Zurück zum Zitat Chillarege R, Bhandari IS, Chaar JK, Halliday MJ, Moebus DS, Ray BK, Wong MY (1992) Orthogonal defect classification-a concept for in-process measurements. IEEE Trans Softw Eng 18(11):943– 956CrossRef Chillarege R, Bhandari IS, Chaar JK, Halliday MJ, Moebus DS, Ray BK, Wong MY (1992) Orthogonal defect classification-a concept for in-process measurements. IEEE Trans Softw Eng 18(11):943– 956CrossRef
Zurück zum Zitat Dethomas A, Feo P (1987) Technology requirements of integrated, critical digital flight systems. In: Proceedings of the AIAA Guidance, Navigation and Control Conference, pp 1579–1583 Dethomas A, Feo P (1987) Technology requirements of integrated, critical digital flight systems. In: Proceedings of the AIAA Guidance, Navigation and Control Conference, pp 1579–1583
Zurück zum Zitat Diller T, Helmrich G, Dunning S, Cox S, Buchanan A, Shappell S (2013) The human factors analysis classification system (HFACS) applied to health care. Am J Med Qual 29:181–190CrossRef Diller T, Helmrich G, Dunning S, Cox S, Buchanan A, Shappell S (2013) The human factors analysis classification system (HFACS) applied to health care. Am J Med Qual 29:181–190CrossRef
Zurück zum Zitat Ericsson KA, Simon HA (1993) Protocol analysis : verbal reports as data /Revised Edition. MIT Press, Cambridge Ericsson KA, Simon HA (1993) Protocol analysis : verbal reports as data /Revised Edition. MIT Press, Cambridge
Zurück zum Zitat Femmer H, Fernández DM, Juergens E, Klose M, Zimmer I, Zimmer J (2014) Rapid requirements checks with requirements smells: Two case studies. In: Proceedings of the 1st International Workshop on Rapid Continuous Software Engineering, pp 10–19 Femmer H, Fernández DM, Juergens E, Klose M, Zimmer I, Zimmer J (2014) Rapid requirements checks with requirements smells: Two case studies. In: Proceedings of the 1st International Workshop on Rapid Continuous Software Engineering, pp 10–19
Zurück zum Zitat Fernández DM, Wagner S, Kalinowski M, Felderer M, Mafra P, Vetrò A, Conte T, Christiansson MT, Greer D, Lassenius C, Männistö T, Nayabi M, Oivo M, Penzenstadler B, Pfahl D, Prikladnicki R, Ruhe G, Schekelmann A, Sen S, Spinola R, Tuzcu A, de la Vara JL, Wieringa R (2017) Naming the pain in requirements engineering. Empir Softw Eng 22(5):2298–2338CrossRef Fernández DM, Wagner S, Kalinowski M, Felderer M, Mafra P, Vetrò A, Conte T, Christiansson MT, Greer D, Lassenius C, Männistö T, Nayabi M, Oivo M, Penzenstadler B, Pfahl D, Prikladnicki R, Ruhe G, Schekelmann A, Sen S, Spinola R, Tuzcu A, de la Vara JL, Wieringa R (2017) Naming the pain in requirements engineering. Empir Softw Eng 22(5):2298–2338CrossRef
Zurück zum Zitat Grady RB (1996) Software failure analysis for high-return process improvement decisions. Hewlett Packard J 47:15–24 Grady RB (1996) Software failure analysis for high-return process improvement decisions. Hewlett Packard J 47:15–24
Zurück zum Zitat Hamill M, Goseva-Popstojanova K (2009) Common trends in software fault and failure data. IEEE Trans Softw Eng 35(4):484–496CrossRef Hamill M, Goseva-Popstojanova K (2009) Common trends in software fault and failure data. IEEE Trans Softw Eng 35(4):484–496CrossRef
Zurück zum Zitat Hu W, Carver JC, Anu VK, Walia GS, Bradshaw G (2016) Detection of requirement errors and faults via a human error taxonomy: A feasibility study. In: Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM ’16, pp 30:1–30:10 Hu W, Carver JC, Anu VK, Walia GS, Bradshaw G (2016) Detection of requirement errors and faults via a human error taxonomy: A feasibility study. In: Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM ’16, pp 30:1–30:10
Zurück zum Zitat Hu W, Carver JC, Anu V, Walia G, Bradshaw G (2017) Defect prevention in requirements using human error information: An empirical study. In: Proceedings of the international working conference on requirements engineering, foundation for software quality. Springer, pp 61–76 Hu W, Carver JC, Anu V, Walia G, Bradshaw G (2017) Defect prevention in requirements using human error information: An empirical study. In: Proceedings of the international working conference on requirements engineering, foundation for software quality. Springer, pp 61–76
Zurück zum Zitat IEEE (2017) 24765:2017 – Systems and Software Engineering – Vocabulary. IEEE IEEE (2017) 24765:2017 – Systems and Software Engineering – Vocabulary. IEEE
Zurück zum Zitat Kamsties E, M Berry D, Paech B (2001) Detecting ambiguities in requirements documents using inspections. In: Proceedings of the First Workshop on Inspection in Software Engineering Kamsties E, M Berry D, Paech B (2001) Detecting ambiguities in requirements documents using inspections. In: Proceedings of the First Workshop on Inspection in Software Engineering
Zurück zum Zitat Kumaresh S, Baskaran R (2012) Experimental design on defect analysis in software process improvement. In: Proceedings of the IEEE International Conference on Recent Advances in Computing and Software Systems, pp 293–298 Kumaresh S, Baskaran R (2012) Experimental design on defect analysis in software process improvement. In: Proceedings of the IEEE International Conference on Recent Advances in Computing and Software Systems, pp 293–298
Zurück zum Zitat Lanubile F, Shull F, Basili VR (1998) Experimenting with error abstraction in requirements documents. In: Proceedings of the Fifth IEEE International Software Metrics Symposium, pp 114–121 Lanubile F, Shull F, Basili VR (1998) Experimenting with error abstraction in requirements documents. In: Proceedings of the Fifth IEEE International Software Metrics Symposium, pp 114–121
Zurück zum Zitat Leszak M, Perry DE, Stoll D (2000) A case study in root cause defect analysis. In: Proceedings of the 22nd International Conference on Software Engineering, pp 428–437 Leszak M, Perry DE, Stoll D (2000) A case study in root cause defect analysis. In: Proceedings of the 22nd International Conference on Software Engineering, pp 428–437
Zurück zum Zitat Mays RG, Jones CL, Holloway GJ, Studinski DP (1990) Experiences with defect prevention. IBM Syst J 29(1):4–32CrossRef Mays RG, Jones CL, Holloway GJ, Studinski DP (1990) Experiences with defect prevention. IBM Syst J 29(1):4–32CrossRef
Zurück zum Zitat Nolan TW (2000) System changes to improve patient safety. BMJ Br Med J 320(7237):771CrossRef Nolan TW (2000) System changes to improve patient safety. BMJ Br Med J 320(7237):771CrossRef
Zurück zum Zitat Pooley R, Senior D, Christie D (2002) Collecting and analyzing web-based project metrics. IEEE Softw 19(1):52–58CrossRef Pooley R, Senior D, Christie D (2002) Collecting and analyzing web-based project metrics. IEEE Softw 19(1):52–58CrossRef
Zurück zum Zitat Raja UA (2009) Empirical studies of requirements validation techniques. In: 2009 2nd International Conference on Computer, Control and Communication, pp 1–9 Raja UA (2009) Empirical studies of requirements validation techniques. In: 2009 2nd International Conference on Computer, Control and Communication, pp 1–9
Zurück zum Zitat Reason J (2008) The human contribution: unsafe acts, accidents and heroic recoveries. Ashgate Publishing Reason J (2008) The human contribution: unsafe acts, accidents and heroic recoveries. Ashgate Publishing
Zurück zum Zitat Reason J, Manstead A, Stradling S, Baxter J, Campbell K (1990) Errors and violations on the roads: a real distinction? Ergonomics 33(10-11):1315–1332CrossRef Reason J, Manstead A, Stradling S, Baxter J, Campbell K (1990) Errors and violations on the roads: a real distinction? Ergonomics 33(10-11):1315–1332CrossRef
Zurück zum Zitat Saha G K (2006) Software fault avoidance issues. Ubiquity 2006(November):5:1–5:15CrossRef Saha G K (2006) Software fault avoidance issues. Ubiquity 2006(November):5:1–5:15CrossRef
Zurück zum Zitat Shappell S, Wiegmann D (2001) Applying reason: The human factors analysis and classification system (HFACS). Human Factors and Aerospace Safety 1:59–86 Shappell S, Wiegmann D (2001) Applying reason: The human factors analysis and classification system (HFACS). Human Factors and Aerospace Safety 1:59–86
Zurück zum Zitat Sommerville I (2010) Software Engineering, 9th edn. Addison-Wesley, HarlowMATH Sommerville I (2010) Software Engineering, 9th edn. Addison-Wesley, HarlowMATH
Zurück zum Zitat Suma V, Nair T (2008) Defect prevention approaches in medium scale it enterprises. In: Proceedings of the National Conference on Recent Research Trends in Information Technology, pp 134–138 Suma V, Nair T (2008) Defect prevention approaches in medium scale it enterprises. In: Proceedings of the National Conference on Recent Research Trends in Information Technology, pp 134–138
Zurück zum Zitat Terzakis J (2013) Reducing requirements defect density by using mentoring to supplement training. Int J Adv Intell Syst 6(1):102–111 Terzakis J (2013) Reducing requirements defect density by using mentoring to supplement training. Int J Adv Intell Syst 6(1):102–111
Zurück zum Zitat Walia GS, Carver JC (2009) A systematic literature review to identify and classify software requirement errors. Inf Softw Technol 51(7):1087–1109CrossRef Walia GS, Carver JC (2009) A systematic literature review to identify and classify software requirement errors. Inf Softw Technol 51(7):1087–1109CrossRef
Zurück zum Zitat Walia GS, Carver JC (2010) Evaluating the use of requirement error abstraction and classification method for preventing errors during artifact creation: A feasibility study. In: 21st IEEE International Symposium on Software Reliability Engineering, pp 81–90 Walia GS, Carver JC (2010) Evaluating the use of requirement error abstraction and classification method for preventing errors during artifact creation: A feasibility study. In: 21st IEEE International Symposium on Software Reliability Engineering, pp 81–90
Zurück zum Zitat Walia GS, Carver JC (2013) Using error abstraction and classification to improve requirement quality: conclusions from a family of four empirical studies. Empir Softw Eng 18(4):625–658CrossRef Walia GS, Carver JC (2013) Using error abstraction and classification to improve requirement quality: conclusions from a family of four empirical studies. Empir Softw Eng 18(4):625–658CrossRef
Zurück zum Zitat Wickens CD, Hollands JG, Banbury S, Parasuraman R (2015) Engineering psychology & human performance. Psychology Press Wickens CD, Hollands JG, Banbury S, Parasuraman R (2015) Engineering psychology & human performance. Psychology Press
Zurück zum Zitat Wiegmann D, Shappell S, Boquet A, Detwiler C, Holcomb K, Faaborg T (2005) Human error and general aviation accidents: A comprehensive, fine-grained analysis using HFACS. In: DOT/FAA/ AM-05/24 Wiegmann D, Shappell S, Boquet A, Detwiler C, Holcomb K, Faaborg T (2005) Human error and general aviation accidents: A comprehensive, fine-grained analysis using HFACS. In: DOT/FAA/ AM-05/24
Zurück zum Zitat Wiener EL, Kanki BG, Helmreich RL (1995) Cockpit resource management. Gulf Professional Publishing Wiener EL, Kanki BG, Helmreich RL (1995) Cockpit resource management. Gulf Professional Publishing
Zurück zum Zitat Zhang J, Patel VL, Johnson TR, Shortliffe EH (2004) A cognitive taxonomy of medical errors. J Biomed Inform 37(3):193–204CrossRef Zhang J, Patel VL, Johnson TR, Shortliffe EH (2004) A cognitive taxonomy of medical errors. J Biomed Inform 37(3):193–204CrossRef
Metadaten
Titel
Using human error information for error prevention
verfasst von
Wenhua Hu
Jeffrey C. Carver
Vaibhav Anu
Gursimran S. Walia
Gary L. Bradshaw
Publikationsdatum
23.05.2018
Verlag
Springer US
Erschienen in
Empirical Software Engineering / Ausgabe 6/2018
Print ISSN: 1382-3256
Elektronische ISSN: 1573-7616
DOI
https://doi.org/10.1007/s10664-018-9623-8

Weitere Artikel der Ausgabe 6/2018

Empirical Software Engineering 6/2018 Zur Ausgabe