Nothing Special   »   [go: up one dir, main page]

Skip to main content
Log in

A socio-technical-based process for questionnaire development in requirements elicitation via interviews

  • Original Article
  • Published:
Requirements Engineering Aims and scope Submit manuscript

Abstract

Software development is the process of building systems that solve users’ need and satisfy stakeholders’ objectives. Such needs are determined through requirements elicitation, which is considered an intensive, complex, and multi-disciplinary process. Traditional methods of elicitation often fail to uncover requirements that are critical for successful and wide-scale user adoption because these methods primarily focus on the technical aspects and constraints of the systems rather than considering a socio-technical perspective. The success of information system development involves the identification of the social, organizational and technical features of the systems, which in turn can result in a more acceptable system by users. In this paper, we propose a requirements elicitation process based on socio-technical (ST) systems theory. The process leverages ST system components to help identify a set of ST imbalances, which in turn help in requirements elicitation. The applicability of the process is demonstrated using empirical investigation with a randomized two-group experimental design, where the objective is to see the potential of the proposed process to enhance analysts’ understanding of socio-technical aspects of a domain, interview readiness, and questionnaire quality.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Hickey AM, Davis AM (2004) A unified model of requirements elicitation. J Manag Inf Syst 20(4):65–84

    Google Scholar 

  2. Toro AD, Jiménez BB, Cortés AR, Bonilla MT (1999) A requirements elicitation approach based in templates and patterns. In: Proceedings 2nd workshop on requirements engineering, Buenos Aires, Argentina, September 9–10, pp 17–29

  3. Raghavan S, Zelesnik G, Ford G (1994) Lecture notes on requirements elicitation. Educational Materials CMU/SEI–94–EM–10. Software Engineering Institute, Carnegie Mellon University

  4. Hickey AM, Davis AM (2003) Requirements elicitation and elicitation technique selection: model for two knowledge-intensive software development processes. In: Proceedings of the 36th annual hawaii international conference on system sciences, Hawaii 2003. IEEE, p 10

  5. Brooks (1987) No silver bullet essence and accidents of software engineering. Computer 20(4):10–19

    Google Scholar 

  6. Zowghi D, Coulin C (2005) Requirements elicitation: a survey of techniques, approaches, and tools. In: Engineering and managing software requirements. Springer, pp 19–46

  7. Davis GB (1982) Strategies for information requirements determination. IBM Syst J 21(1):4–30

    Google Scholar 

  8. Byrd TA, Cossick KL, Zmud RW (1992) A synthesis of research on requirements analysis and knowledge acquisition techniques. Manag Inf Syst Q 16(1):117–138

    Google Scholar 

  9. Pitts MG, Browne GJ (2007) Improving requirements elicitation: an empirical investigation of procedural prompts. Inf Syst J 17(1):89–110

    Google Scholar 

  10. Browne G, Rogich M (2001) An empirical investigation of user requirements elicitation: comparing the effectiveness of prompting techniques. J Manag Inf Syst 17(4):223–249

    Google Scholar 

  11. Klier J, Klier M, Muschter S (2017) How to manage IS requirements in complex public sector structures: toward an action design research approach. Requir Eng 22(4):419–432

    Google Scholar 

  12. Mumford E (2000) A socio-technical approach to systems design. Requir Eng 5(2):125–133

    Google Scholar 

  13. Aurum A, Wohlin C (2005) Engineering and managing software requirements, 1st edn. Springer, Berlin

    MATH  Google Scholar 

  14. Sampaio do Prado Leite J, Gilvaz APP (1996) Requirements elicitation driven by interviews: the use of viewpoints. In: Proceedings of the 8th international workshop on software specification and design. IEEE, pp 85–94

  15. Vitharana P, Jain H, Zahedi F (2012) A knowledge based component/service repository to enhance analysts’ domain knowledge for requirements analysis. Inf Manag 49(1):24–35

    Google Scholar 

  16. Baloian N, Zurita G, Santoro FM, Araujo RM, Wolfgan S, Machado D, Pino JA (2011) A collaborative mobile approach for business process elicitation. In: 2011 15th international conference on computer supported cooperative work in design (CSCWD). IEEE, pp 473–480

  17. Agarwal R, Tanniru M (1990) Knowledge acquisition using structured interviewing: an empirical investigation. J Manag Inf Syst 1:123–140

    Google Scholar 

  18. Vasundran M (2012) Comparison of requirements elicitation techniques. Int J Adv Comput Inf Technol

  19. Lim SL, Finkelstein A (2012) StakeRare: using social networks and collaborative filtering for large-scale requirements elicitation. IEEE Trans Softw Eng 38(3):707–735

    Google Scholar 

  20. Moody JW, Blanton JE, Cheney PH (1998) A theoretically grounded approach to assist memory recall during information requirements determination. J Manag Inf Syst 15:79–98

    Google Scholar 

  21. Ferrari A, Spoletini P, Gnesi S (2016) Ambiguity and tacit knowledge in requirements elicitation interviews. Requir Eng 21(3):333–355

    Google Scholar 

  22. Davis A, Dieste O, Hickey A, Juristo N, Moreno AM (2006) Effectiveness of requirements elicitation techniques: empirical results derived from a systematic review. In: 14th IEEE international requirements engineering conference St. Paul, Minneapolis. IEEE, pp 179–188

  23. Clegg C (2000) Sociotechnical principles for system design. Appl Ergonom 31:463–477. https://doi.org/10.1016/S0003-6870(00)00009-0

    Article  Google Scholar 

  24. Fuentes-Fernández R, Gómez-Sanz JJ, Pavón J (2010) Understanding the human context in requirements elicitation. Requir Eng 15(3):267–283

    Google Scholar 

  25. Kaufmann A, Riehle D (2017) The QDAcity-RE method for structural domain modeling using qualitative data analysis. Requir Eng 24(1):1–18

    Google Scholar 

  26. Thew S, Sutcliffe A (2018) Value-based requirements engineering: method and experience. Requir Eng 23(4):443–464

    Google Scholar 

  27. Levy M, Hadar I, Aviv I (2018) A requirements engineering methodology for knowledge management solutions: integrating technical and social aspects. Requir Eng 23(1):1–19

    Google Scholar 

  28. Weinert B, Hahn A, Uslar M (2018) Domain-specific requirements elicitation for socio-technical system-of-systems. In: Paper presented at the 2018 13th annual conference on system of systems engineering (SoSE), Paris, France

  29. Wang Y, Zhao L (2017) Eliciting user requirements for e-collaboration systems: a proposal for a multi-perspective modeling approach. Requir Eng 254(2):205–229

    Google Scholar 

  30. Shahri A, Hosseini M, Taylor J, Stefanidis A, Phalp K, Ali R (2019) Engineering digital motivation in businesses: a modelling and analysis framework. Requir Eng 24(1):1–32

    Google Scholar 

  31. Ackerman M, Prilla M, Stary C, Herrmann T, Goggins S (2017) Designing healthcare that works: a sociotechnical approach, 1st edn. Academic Press, Orlando

    Google Scholar 

  32. Li T, Horkoff J, Mylopoulos J (2018) Holistic security requirements analysis for socio-technical systems. Softw Syst Model 17(4):1253–1285

    Google Scholar 

  33. Eason K (2008) Sociotechnical systems theory in the 21st Century: another half-filled glass. In: Desmond M, John K (eds) Sense in social science—a collection of essays in Honour of Dr. Lisl Klein, Desmond Graves, pp 123–134

    Google Scholar 

  34. Vink P (2012) Advances in social and organizational factors, 1st edn. Taylor & Francis Group, London

    Google Scholar 

  35. Baxter G, Sommerville I (2011) Socio-technical systems: from design methods to systems engineering. Interact Comput 23(1):4–17

    Google Scholar 

  36. Mumford E (2006) The story of socio-technical design: reflections on its successes, failures and potential. Inf Syst J 16(4):317–342

    Google Scholar 

  37. Emery F, Trist E (1960) Socio-technical systems. In: West C, Michael V (eds) Management sciences models and techniques, vol 1. Pergamon Press, New York, pp 38–58

    Google Scholar 

  38. Bryl V, Giorgini P, Mylopoulos J (2009) Designing socio-technical systems: from stakeholder goals to social networks. Requir Eng 14(1):47–70

    Google Scholar 

  39. Cherns A (1987) Principles of sociotechnical design revisted. Hum Relat 40(3):153–161

    Google Scholar 

  40. Cherns A (1976) The principles of sociotechnical design. Hum Relat 29(8):783–792

    Google Scholar 

  41. Berg M, Toussaint P (2003) The mantra of modeling and the forgotten powers of paper: a sociotechnical view on the development of process-oriented ICT in health care. Int J Med Inf 69(2):223–234

    Google Scholar 

  42. Eason K (2007) Local sociotechnical system development in the NHS National Programme for Information Technology. J Inf Technol 22(3):257–264

    Google Scholar 

  43. Zielczynski P (2007) Requirements management using IBM rational requisitepro. Pearson Education & IBM Press, Indianapolis

    Google Scholar 

  44. Leffingwell D, Widrig D (2000) Managing software requirements: a unified approach, 1st edn. Addison-Wesley Professional, Indianapolis, IN, USA

    Google Scholar 

  45. Turner CR, Fuggetta A, Lavazza L, Wolf AL (1999) A conceptual basis for feature engineering. J Syst Softw 49(1):3–15

    Google Scholar 

  46. Turner CR, Wolf AL, Fuggetta A, Lavazza L (1998) Feature engineering. In: Proceedings of the 9th international workshop on software specification and design, Mie, Japan. IEEE Computer Society, p 162

  47. Tsung SMM-L (2004) ERP: a route toward successful implementation. University of Leeds, University of Leeds Press, Leeds

    Google Scholar 

  48. Gross D, Yu E (2001) From non-functional requirements to design through patterns. Requir Eng 6(1):18–36

    MATH  Google Scholar 

  49. Lee Y, Zhao W (2006) Domain requirements elicitation and analysis-an ontology-based approach. In: Paper presented at the international conference on computational science, Berlin, Heidelberg

  50. Nuseibeh B, Easterbrook S (2000) Requirements engineering: a roadmap. In: Proceedings of the conference on the future of software engineering, Limerick, Ireland. ACM, pp 35–46

  51. Liu L, Lin L (2008) ARED-CK: an automated requirements elicitation approach based on decision-making with complete knowledge. In: First international workshop on managing requirements knowledge, Barcelona, Spain. IEEE, pp 47–52

  52. Kenzi K, Soffer P, Hadar I (2010) The role of domain knowledge in requirements elicitation: an exploratory study. In: Mediterranean conference on information systems Netherlands, vol 2. Association for Information Systems, p 48

  53. Hofmann HF, Lehner F (2001) Requirements engineering as a success factor in software projects. IEEE Softw 18(4):58–66

    Google Scholar 

  54. Hadar I, Soffer P, Kenzi K (2014) The role of domain knowledge in requirements elicitation via interviews: an exploratory study. Requir Eng 19(2):143–159

    Google Scholar 

  55. Sabahat N, Iqbal F, Azam F, Javed MY (2010) An iterative approach for global requirements elicitation: a case study analysis. In: International conference on electronics and information engineering, 2010. IEEE, pp V1-361–V361-366

  56. Sutcliffe A, Sawyer P (2013) Requirements elicitation: Towards the unknown unknowns. In: Paper presented at the 21st IEEE international requirements engineering conference, Rio de Janeiro, Brazil

  57. Chua BB, Bernardo DV, Verner J (2010) Understanding the use of elicitation approaches for effective requirements gathering. In: 2010 Fifth international conference on software engineering advances (ICSEA). IEEE, pp 325–330

  58. Alistair S, Shailey M (1999) Analysing socio-technical system requirements. In: 4th International symposium on requirements engineering, Limerick, Ireland

  59. Mavin A, Maiden N (2003) Determining socio-technical systems requirements: experiences with generating and walking through scenarios. In: Proceedings of the 11th IEEE international conference on requirements engineering, Monterey Bay, CA. IEEE, pp 213–222

  60. Sommerville I, Sawyer P (1997) Requirements engineering: a good practice guide, 1st edn. Wiley, New York

    MATH  Google Scholar 

  61. Holbrook H III (1990) A scenario-based methodology for conducting requirements elicitation. ACM Sigsoft Softw Eng Notes 15(1):95–104

    Google Scholar 

  62. Asteasuain F, Braberman V (2017) Declaratively building behavior by means of scenario clauses. Requir Eng 22(2):239–274

    Google Scholar 

  63. Atladottir G, Hvannberg ET, Gunnarsdottir S (2012) Comparing task practicing and prototype fidelities when applying scenario acting to elicit requirements. Requir Eng 17(3):157–170

    Google Scholar 

  64. Sutcliffe, Ryan (1998) Experience with SCRAM, a scenario requirements analysis method. In: Paper presented at the proceedings of the third international conference on requirements engineering, Colorado Springs, CO

  65. Sommerville I, Sawyer P, Viller S (1998) Viewpoints for requirements elicitation: a practical approach. In: Proceedings of the third international conference on requirements engineering, Colorado Springs, CO. IEEE, pp 74–81

  66. Fuller RM, Davis CJ (2008) The Overreliance on analyst experience in the selection of requirements elicitation techniques. In: Paper presented at the proceedings of the 14th Americas conference on information systems (AMCIS 2008). Toronto, Ontario, Canada

  67. Dalpiaz F, Giorgini P, Mylopoulos J (2013) Adaptive socio-technical systems: a requirements-based approach. Requir Eng 18(1):1–24

    Google Scholar 

  68. Herrmann T (2009) Systems design with the socio-technical walkthrough. In: Whitworth B, de Moor A (eds) Handbook of research on socio-technical design and social networking systems. IGI Global, Pennsylvania, pp 336–351

    Google Scholar 

  69. Jones S, Maiden NA (2005) RESCUE: An integrated method for specifying requirements for complex socio-technical systems. In: Jose LM, Andres S (eds) Requirements engineering for socio-technical systems. IGI Global, Pennsylvania, pp 245–265

    Google Scholar 

  70. Katina PF, Keating CB, Raed MJ (2014) System requirements engineering in complex situations. Requir Eng 19(1):45–62

    Google Scholar 

  71. Hubbard R, Schroeder CN, Mead NR (2000) An assessment of the relative efficiency of a facilitator-driven requirements collection process with respect to the conventional interview method. In: Proceedings of the 4th international conference on requirements engineering, Schaumburg, IL. IEEE, pp 178–186

  72. Clegg C (2000) Sociotechnical principles for system design. Appl Ergonom 31(5):463–477

    Google Scholar 

  73. Lyytinen K, Newman M (2008) Explaining information systems change: a punctuated socio-technical change model. Eur J Inf Syst 17(6):589–613

    Google Scholar 

  74. Horkoff J, Aydemir FB, Cardoso E, Li T, Maté A, Paja E, Salnitri M, Piras L, Mylopoulos J, Giorgini P (2017) Goal-oriented requirements engineering: an extended systematic mapping study. Requir Eng 24(2):1–28

    Google Scholar 

  75. Hevner March, Park Ram (2004) Design science in information systems research. Manag Inf Syst Q 28(1):75–105

    Google Scholar 

  76. vom Brocke J, Riedl R, Léger P-M (2013) Application strategies for neuroscience in information systems design science research. J Comput Inf Syst 53(3):1–13

    Google Scholar 

  77. Peffers K, Tuunanen T, Rothenberger MA, Chatterjee S (2007) A design science research methodology for information systems research. J Manag Inf Syst 24(3):45–77

    Google Scholar 

  78. Hogan J, Hogan R, Busch CM (1984) How to measure service orientation. J Appl Psychol 69(1):167

    Google Scholar 

  79. Gebauer J, Shaw MJ, Gribbins ML (2005) Towards a specific theory of task-technology fit for mobile information systems. University of Illinois at Urbana-Champaign, College of Business Working Paper

  80. Thompson J (2017) Organizations in action: social science bases of administrative theory. Routledge, New York

    Google Scholar 

  81. Fredericks S, Guruge S, Sidani S, Wan T (2010) Postoperative patient education: a systematic review. Clin Nurs Res 19(2):144–164

    Google Scholar 

  82. Bandura A, McClelland DC (1977) Social learning theory. General Learning Press, New York

    Google Scholar 

  83. Bandura A (1994) Self-efficacy. In: Corsini R (ed) Encyclopedia of psychology, vol 3, 2nd edn. Wiley, New York

    Google Scholar 

  84. Bandura A (1977) Social learning theory, 1st edn. Prentice Hall, Englewood Cliffs

    Google Scholar 

  85. Barki H, Hartwick J (1994) Measuring user participation, user involvement, and user attitude. Manag Inf Syst Q 18(1):59–82

    Google Scholar 

  86. Fishbein M, Ajzen I (1975) Belief, attitude, intention and behavior: An introduction to theory and research. Philos Rhetor 10(2):130–132

    Google Scholar 

  87. Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. Manag Inf Syst Q 27(3):425–478

    Google Scholar 

  88. Haug MR, Lavin B (1981) Practitioner or patient-Who’s in charge? J Health Soc Behav 22(3):212–229

    Google Scholar 

  89. Sadiq SW, Marjanovic O, Orlowska ME (2000) Managing change and time in dynamic workflow processes. Int J Coop Inf Syst 9(01n02):93–116

    Google Scholar 

  90. Galloway LJ (2006) A scheme of technology acceptance for mobile computing. In: Proceedings of the 2006 information resources management association international conference, Washington, DC. IGI Global, pp 21–24

  91. Davis F (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. Manag Inf Syst Q 13(3):319–340

    Google Scholar 

  92. Harris Wysocki, Sadler Wilkinson, Harvey Buckloh, Mauras White (2000) Validation of a structured interview for the assessment of diabetes self-management. Diabetes Care 23(9):1301–1304

    Google Scholar 

  93. Wagner EH, Austin BT, Von Korff M (1996) Organizing care for patients with chronic illness. Milbank Q 74(4):511–544

    Google Scholar 

  94. Wysocki T, Taylor A, Hough BS, Linscheid TR, Yeates KO, Naglieri JA (1996) Deviation from developmentally appropriate self-care autonomy: association with diabetes outcomes. Diabetes Care 19(2):119–125

    Google Scholar 

  95. Nam S, Chesla C, Stotts NA, Kroon L, Janson SL (2011) Barriers to diabetes management: patient and provider factors. Diabetes Res Clin Pract 93(1):1–9

    Google Scholar 

  96. Toobert DJ, Strycker LA, Glasgow RE, Barrera M, Bagdade JD (2002) Enhancing support for health behavior change among women at risk for heart disease: the Mediterranean Lifestyle Trial. Health Educ Res 17(5):574–585

    Google Scholar 

  97. Bayliss EA, Steiner JF, Fernald DH, Crane LA, Main DS (2003) Descriptions of barriers to self-care by persons with comorbid chronic diseases. Ann Family Med 1(1):15–21

    Google Scholar 

  98. Tobin S et al (2012) Lesson learned: effective training strategies for electronic data capturing. Society for Clinical Trials, Miami Annual Meeting

  99. Ershow AG (2009) Environmental influences on development of type 2 diabetes and obesity: challenges in personalizing prevention and management. J Diabetes Sci Technol 3(4):727–734

    Google Scholar 

  100. Schwarzer R, Schüz B, Ziegelmann JP, Lippke S, Luszczynska A, Scholz U (2007) Adoption and maintenance of four health behaviors: Theory-guided longitudinal studies on dental flossing, seat belt use, dietary behavior, and physical activity. Ann Behav Med 33(2):156–166

    Google Scholar 

  101. Anderson J (2007) Social, ethical and legal barriers to e-health. Int J Med Inf 76(5):480–483

    Google Scholar 

  102. Marrero DG (2007) Overcoming patient barriers to initiating insulin therapy in type 2 diabetes mellitus. Clin Cornerstone 8(2):33–43

    Google Scholar 

  103. Richard AA, Shea K (2011) Delineation of self-care and associated concepts. J Nurs Scholarsh 43(3):255–264

    Google Scholar 

  104. Fisher WA (2007) Barriers and behaviours in blood glucose monitoring. US Endocrine Dis 2(1):51–53

    Google Scholar 

  105. Skinner TC, John M, Hampson SE (2000) Social support and personal models of diabetes as predictors of self-care and well-being: a longitudinal study of adolescents with diabetes. J Pediatr Psychol 25(4):257–267

    Google Scholar 

  106. Morisky DE, DeMuth NM, Field-Fass M, Green LW, Levine DM (1985) Evaluation of family health education to build social support for long-term control of high blood pressure. Health Educ Behav 12(1):35–50

    Google Scholar 

  107. IEEE (1984) ANSI/IEEE Standard 830-1984: IEEE guide for software requirements specifications. IEEE STD, pp 1–26

  108. Kitchenham BA, Linkman SG, Law D (1994) Critical review of quantitative assessment. Softw Eng J 9(2):43–54

    Google Scholar 

  109. Juristo N, Moreno AM (2003) Lecture notes on empirical software engineering, vol 12, 1st edn. World Scientific, River Edge

    MATH  Google Scholar 

  110. Gaska MT, Gause DC (1998) An approach for cross-discipline requirements engineering process patterns. In: Proceedings of IEEE international symposium on requirements engineering, Colorado Springs, CO. IEEE, pp 182–189

  111. Osgood CE (1964) Semantic differential technique in the comparative study of Cultures1. Am Anthropol 66(3):171–200

    Google Scholar 

  112. D’Aubeterre F, Iyer LS, Singh R (2009) An empirical evaluation of information security awareness levels in designing secure business processes. In: Proceedings of the 4th international conference on design science research in information systems and technology, Philadelphia, Pennsylvania. ACM, p 16

  113. Walls JG, Widmeyer GR, El Sawy OA (1992) Building an information system design theory for vigilant EIS. Inf Syst Res 3(1):36–59

    Google Scholar 

  114. Joseph H, William B, Barry B, Rolph A (2010) Multivariate data analysis, 7th edn. Pearson, Upper Saddle River

    Google Scholar 

  115. Karimi J, Somers TM, Gupta YP (2001) Impact of information technology management practices on customer service. J Manag Inf Syst 17(4):125–158

    Google Scholar 

  116. Faul F, Erdfelder E, Buchner A, Lang A (2013) G*Power Version 3.1.7 [computer software]

  117. Statistics_Solutions (2013) Sample Size Write-up Statistics Solutions. http://www.statisticssolutions.com/resources/sample-size-calculator/manova-groups/manova-2-levels-and-2-dependent-variables

  118. Stevens JP (1984) Outliers and influential data points in regression analysis. Psychol Bull 95(2):334

    Google Scholar 

  119. Pallant J (2013) SPSS survival manual: a step-by-step guide to data analysis using SPSS, 5th edn. Open University Press, Philadelphia

    Google Scholar 

  120. Pearson ES, Pearson K (1954) Biometrika tables for statisticians, vol 2, 2nd edn. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  121. Kenneth A, Richard C, Ingram BEO (1996) Education in a research University, 1st edn. Stanford University Press, Palo Alto

    Google Scholar 

  122. Arthur W (2002) The interaction between developmental bias and natural selection: from centipede segments to a general hypothesis. Heredity 89(4):239–246

    Google Scholar 

  123. Dufour JM, Farhat A, Gardiol L, Khalaf L (1998) Simulation-based finite sample normality tests in linear regressions. Econom J 1(1):154–173

    Google Scholar 

  124. Mendes M, Pala A (2003) Type I error rate and power of three normality tests. Pak J Inf Technol 2(2):135–139

    Google Scholar 

  125. Trochim WM, Donnelly JP (2006) Research methods knowledge base, 3rd edn. Atomic Dog Publishing

  126. Everitt BS (2002) The Cambridge dictionary of statistics. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  127. Montgomery DC (2012) Design and analysis of experiments. Wiley, Hoboken

    Google Scholar 

  128. Neil S (2012) 100 questions (and answers) about research methods. SAGE Publications, Washington, DC

    Google Scholar 

  129. Campbell DT, Stanley JC (2015) Experimental and quasi-experimental designs for research. Ravenio Books, New York Online (e-textbook)

    Google Scholar 

  130. Thomas C (1976) Quasi-experimentation: design and analysis issues for field settings, 1st edn. Houghton Mifflin, Chicago

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abdullah Wahbeh.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wahbeh, A., Sarnikar, S. & El-Gayar, O. A socio-technical-based process for questionnaire development in requirements elicitation via interviews. Requirements Eng 25, 295–315 (2020). https://doi.org/10.1007/s00766-019-00324-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00766-019-00324-x

Keywords

Navigation