B: LIST OF PRI MA RY STUDIES
[P1] G. Allen and J. Parsons, “Is query reuse potentially harmful? an-
choring and adjustment in adapting existing database queries,”
Information Systems Research, vol. 21, no. 1, pp. 56–77, 2010.
[P2] G. Allen and B. J. Parsons, “A little help can be a bad thing:
Anchoring and adjustment in adaptive query reuse,” ICIS 2006
Proceedings, p. 45, 2006.
[P3] G. J. Browne and V. Ramesh, “Improving information require-
ments determination: a cognitive perspective,” Information &
Management, vol. 39, no. 8, pp. 625–645, 2002.
[P4] G. Calikli and A. Bener, “Empirical analyses of the factors
affecting conﬁrmation bias and the effects of conﬁrmation bias
on software developer/tester performance,” in Proceedings of
the 6th International Conference on Predictive Models in Software
Engineering. ACM, 2010, p. 10.
[P5] G. Calikli, A. Bener, and B. Arslan, “An analysis of the effects of
company culture, education and experience on conﬁrmation bias
levels of software developers and testers,” in Proceedings of the
32nd ACM/IEEE International Conference on Software Engineering-
Volume 2. ACM, 2010, pp. 187–190.
[P6] G. Calikli, A. Bener, T. Aytac, and O. Bozcan, “Towards a metric
suite proposal to quantify conﬁrmation biases of developers,” in
Empirical Software Engineering and Measurement, 2013 ACM/IEEE
International Symposium on. IEEE, 2013, pp. 363–372.
[P7] G. Calikli, A. Bener, B. Caglayan, and A. T. Misirli, “Modeling
human aspects to enhance software quality management,” in
Thirty Third International Conference on Information Systems, 2012.
[P8] G. C¸ alıklı and A. B. Bener, “Inﬂuence of conﬁrmation biases of
developers on software quality: an empirical study,” Software
Quality Journal, vol. 21, no. 2, pp. 377–416, 2013.
[P9] G. Calikli and A. Bener, “An algorithmic approach to missing
data problem in modeling human aspects in software devel-
opment,” in Proceedings of the 9th International Conference on
Predictive Models in Software Engineering. ACM, 2013, p. 10.
[P10] N. Chotisarn and N. Prompoon, “Forecasting software damage
rate from cognitive bias in software requirements gathering
and speciﬁcation process,” in Information Science and Technology
(ICIST), 2013 International Conference on. IEEE, 2013, pp. 951–
[P11] N. Chotisarn and N. Prompoon, “Predicting software damage
rate from cognitive bias in software design process,” in Proceed-
ings of the 2013 International Conference on Information, Business and
Education Technology (ICIBET 2013). Atlantis Press, 2013.
[P12] P. Conroy and P. Kruchten, “Performance norms: An approach to
rework reduction in software development,” in Electrical & Com-
puter Engineering (CCECE), 2012 25th IEEE Canadian Conference
on. IEEE, 2012, pp. 1–6.
[P13] K. A. De Graaf, P. Liang, A. Tang, and H. Van Vliet, “The impact
of prior knowledge on searching in software documentation,” in
Proceedings of the 2014 ACM symposium on Document engineering.
ACM, 2014, pp. 189–198.
[P14] J. DeFranco-Tommarello and F. P. Deek, “Collaborative problem
solving and groupware for software development,” Information
Systems Management, vol. 21, no. 1, pp. 67–80, 2004.
[P15] I. Hadar, “When intuition and logic clash: The case of the object-
oriented paradigm,” Science of Computer Programming, vol. 78,
no. 9, pp. 1407–1426, 2013.
[P16] R. Jain, J. Muro, and K. Mohan, “A cognitive perspective on pair
programming,” AMCIS 2006 Proceedings, p. 444, 2006.
[P17] K. Mohan and R. Jain, “Using traceability to mitigate cognitive
biases in software development,” Communications of the ACM,
vol. 51, no. 9, pp. 110–114, 2008.
[P18] K. Mohan, N. Kumar, and R. Benbunan-Fich, “Examining com-
munication media selection and information processing in soft-
ware development traceability: An empirical investigation,”
IEEE Transactions on Professional Communication, vol. 52, no. 1,
pp. 17–39, 2009.
[P19] R. Mohanani, P. Ralph, and B. Shreeve, “Requirements ﬁxation,”
in Proceedings of the 36th International Conference on Software Engi-
neering. ACM, 2014, pp. 895–906.
[P20] M. Nurminen, P. Suominen, S. ¨
o, and T. K¨
“Applying semiautomatic generation of conceptual models to
decision support systems domain,” in IASTED International Con-
ference on Software Engineering (SE 2009). ACTA Press, 2009.
[P21] P. Ralph, “Possible core theories for software engineering,” in
Software Engineering (GTSE), 2013 2nd SEMAT Workshop on a
General Theory of. IEEE, 2013, pp. 35–38.
[P22] P. Ralph, “Toward a theory of debiasing software development,”
in EuroSymposium on Systems Analysis and Design. Springer, 2011,
[P23] J. E. Robbins, D. M. Hilbert, and D. F. Redmiles, “Software
architecture critics in argo,” in Proceedings of the 3rd international
conference on Intelligent user interfaces. ACM, 1998, pp. 141–144.
[P24] E. Shalev, M. Keil, J. S. Lee, and Y. Ganzach, “Optimism bias in
managing it project risks: A construal level theory perspective,”
in European conference on information systems (ECIS), 2014.
[P25] O. Shmueli, N. Pliskin, and L. Fink, “Explaining over-
requirement in software development projects: an experimental
investigation of behavioral effects,” International Journal of Project
Management, vol. 33, no. 2, pp. 380–394, 2015.
[P26] F. Shull, “Engineering values: From architecture games to agile
requirements,” IEEE Software, vol. 30, no. 2, pp. 2–6, 2013.
[P27] F. Shull, “Our best hope,” IEEE Software, vol. 31, no. 4, pp. 4–8,
[P28] K. Siau, Y. Wand, and I. Benbasat, “The relative importance
of structural constraints and surface semantics in information
modeling,” Information Systems, vol. 22, no. 2-3, pp. 155–170, 1997.
[P29] B. G. Silverman, “Critiquing human judgment using knowledge-
acquisition systems,” AI Magazine, vol. 11, no. 3, p. 60, 1990.
[P30] E. D. Smith and A. Terry Bahill, “Attribute substitution in sys-
tems engineering,” Systems engineering, vol. 13, no. 2, pp. 130–
[P31] L. M. Leventhal, B. M. Teasley, D. S. Rohlman, and K. Instone,
“Positive test bias in software testing among professionals: A re-
view,” in International Conference on Human-Computer Interaction.
Springer, 1993, pp. 210–218.
[P32] W. Stacy and J. MacMillan, “Cognitive bias in software engineer-
ing,” Communications of the ACM, vol. 38, no. 6, pp. 57–63, 1995.
[P33] A. Tang, “Software designers, are you biased?” in Proceedings of
the 6th International Workshop on SHAring and Reusing Architectural
Knowledge. ACM, 2011, pp. 1–8.
[P34] A. Tang and M. F. Lau, “Software architecture review by associa-
tion,” Journal of Systems and Software, vol. 88, pp. 87–101, 2014.
[P35] P. Tobias and D. S. Spiegel, “Is design the preeminent protagonist
in user experience?” Ubiquity, vol. 2009, no. May, p. 1, 2009.
[P36] R. J. Wirfs-Brock, “Giving design advice,” IEEE Software, vol. 24,
no. 4, 2007.
[P37] E. D. Smith, Y. J. Son, M. Piattelli-Palmarini, and A. Terry Bahill,
“Ameliorating mental mistakes in tradeoff studies,” Systems En-
gineering, vol. 10, no. 3, pp. 222–240, 2007.
[P38] N. C. Haugen, “An empirical study of using planning poker for
user story estimation,” in Agile Conference, 2006. IEEE, 2006, pp.
[P39] A. J. Ko and B. A. Myers, “A framework and methodology for
studying the causes of software errors in programming systems,”
Journal of Visual Languages & Computing, vol. 16, no. 1-2, pp. 41–
[P40] K. Siau, Y. Wand, and I. Benbasat, “When parents need not have
children - cognitive biases in information modeling,” in Inter-
national Conference on Advanced Information Systems Engineering.
Springer, 1996, pp. 402–420.
[P41] S. Chakraborty, S. Sarker, and S. Sarker, “An exploration into
the process of requirements elicitation: A grounded approach,”
Journal of the association for information systems, vol. 11, no. 4, p.
[P42] J. Parsons and C. Saunders, “Cognitive heuristics in software en-
gineering applying and extending anchoring and adjustment to
artifact reuse,” IEEE Transactions on Software Engineering, vol. 30,
no. 12, pp. 873–888, 2004.
[P43] M. G. Pitts and G. J. Browne, “Improving requirements elicita-
tion: an empirical investigation of procedural prompts,” Informa-
tion systems journal, vol. 17, no. 1, pp. 89–110, 2007.
[P44] G. Calikli, B. Aslan, and A. Bener, “Conﬁrmation bias in software
development and testing: An analysis of the effects of company
size, experience and reasoning skills,” Workshop on Psychology of
Programming Interest Group (PPIG), 2010.
[P45] C. Mair and M. Shepperd, “Human judgement and software met-
rics: vision for the future,” in Proceedings of the 2nd international
workshop on emerging trends in software metrics. ACM, 2011, pp.
[P46] M. Jørgensen, “Identiﬁcation of more risks can lead to increased
over-optimism of and over-conﬁdence in software development
effort estimates,” Information and Software Technology, vol. 52,
no. 5, pp. 506–516, 2010.
[P47] M. Jørgensen and T. Halkjelsvik, “The effects of request formats
on judgment-based effort estimation,” Journal of Systems and
Software, vol. 83, no. 1, pp. 29–36, 2010.
[P48] M. Jørgensen, K. H. Teigen, and K. MoløKken, “Better sure than
safe? over-conﬁdence in judgement based software development
effort prediction intervals,” Journal of systems and software, vol. 70,
no. 1-2, pp. 79–93, 2004.
[P49] M. Jørgensen, “Individual differences in how much people are
affected by irrelevant and misleading information,” in Second
European Conference on Cognitive Science, Delphi, Greece, Hellenic
Cognitive Science Society, 2007.
[P50] K. Moløkken and M. Jørgensen, “Expert estimation of web-
development projects: are software professionals in technical
roles more optimistic than those in non-technical roles?” Empiri-
cal Software Engineering, vol. 10, no. 1, pp. 7–30, 2005.
[P51] T. K. Abdel-Hamid, K. Sengupta, and D. Ronan, “Software
project control: An experimental investigation of judgment with
fallible information,” IEEE Transactions on Software Engineering,
vol. 19, no. 6, pp. 603–612, 1993.
[P52] T. Connolly and D. Dean, “Decomposed versus holistic estimates
of effort required for software writing tasks,” Management Sci-
ence, vol. 43, no. 7, pp. 1029–1045, 1997.
[P53] M. Jørgensen and D. I. Sjøberg, “Software process improvement
and human judgement heuristics,” Scandinavian Journal of Infor-
mation Systems, vol. 13, no. 1, p. 2, 2001.
[P54] K. Moløkken-Østvold and M. Jørgensen, “Group processes in
software effort estimation,” Empirical Software Engineering, vol. 9,
no. 4, pp. 315–334, 2004.
[P55] G. Calikli and A. Bener, “Preliminary analysis of the effects of
conﬁrmation bias on software defect density,” in Proceedings of
the 2010 ACM-IEEE International Symposium on Empirical Software
Engineering and Measurement. ACM, 2010, p. 68.
[P56] E. Løhre and M. Jørgensen, “Numerical anchors and their strong
effects on software development effort estimates,” Journal of
Systems and Software, vol. 116, pp. 49–56, 2016.
[P57] M. Jørgensen and B. Faugli, “Prediction of overoptimistic predic-
tions,” in 10th International Conference on Evaluation and Assess-
ment in Software Engineering (EASE). Keele University, UK, 2006,
[P58] M. Jørgensen and T. Gruschke, “Industrial use of formal software
cost estimation models: Expert estimation in disguise?” in Proc.
Conf. Evaluation and Assessment in Software Eng.(EASE05), 2005,
[P59] M. Jorgensen and S. Grimstad, “Over-optimism in software de-
velopment projects:” the winner’s curse”,” in Electronics, Commu-
nications and Computers, 2005. CONIELECOMP 2005. Proceedings.
15th International Conference on. IEEE, 2005, pp. 280–285.
[P60] M. Jørgensen and D. Sjøberg, “The importance of not learning
from experience,” in Proc. European Software Process Improvement
Conf, 2000, pp. 2–2.
[P61] K. Moløkken and M. Jørgensen, “Software effort estimation:
Unstructured group discussion as a method to reduce individual
biases,” in The 15th Annual Workshop of the Psychology of Program-
ming Interest Group (PPIG 2003), 2003, pp. 285–296.
[P62] K. Molokken-Ostvold and N. C. Haugen, “Combining estimates
with planning poker–an empirical study,” in Software Engineering
Conference, 2007. ASWEC 2007. 18th Australian. IEEE, 2007, pp.
[P63] J. A. O. G. da Cunha and H. P. de Moura, “Towards a substantive
theory of project decisions in software development project-
based organizations: A cross-case analysis of it organizations
from brazil and portugal,” in Information Systems and Technologies
(CISTI), 2015 10th Iberian Conference on. IEEE, 2015, pp. 1–6.
[P64] H. van Vliet and A. Tang, “Decision making in software archi-
tecture,” Journal of Systems and Software, vol. 117, pp. 638–644,
[P65] J. A. O. da Cunha, F. Q. da Silva, H. P. de Moura, and F. J. Vas-
concellos, “Decision-making in software project management: A
qualitative case study of a private organization,” in Proceedings of
the 9th International Workshop on Cooperative and Human Aspects of
Software Engineering. ACM, 2016, pp. 26–32.