During the step of creating the names for the
groups of experiences on the whiteboard, the
facilitator wrote a name and asked if the team agreed
with that title. We conclude that the participants
must propose the name of the theme of the groups
on the whiteboard. After that, the participants attach
their experiences in the group that they think is more
relevant.
Finally, an issue that was raised is how to know
that using an Ishikawa’s Diagram before codifying
through the PABC-Pattern is necessary in a data
analysis process. The advantage of using an
Ishikawa’s Diagram was that understanding
problems with multiple points of view became
easier. If we needed to codify the lessons learned
directly into the PABC-Pattern structure, the
understanding process would have taken longer and
mistakes would have been introduced.
As future work, the process proposed in this
work will be evolved to make it more adequate to
capturing experiences. Some of the identified
improvement opportunities are:
• To stimulate shy participants so they expose their
experiences. It is necessary to find ways to help
these participants in remembering and
externalizing their experiences to the group.
Identifying isolated experiences is not an
alternative solution since describing an
experience to the group helps everyone
understand the experience (Section 4).
• Remembering the main points of the project
before the description of the experiences. It may
help the participants write better notes and help
the facilitator to better understand the project’s
context.
• To carry out the results stage of the Post-mortem
process and finish the experiences report of the
project. After finishing, carry out an evaluation
to know if the chosen report structure to this
work is efficient.
ACKNOWLEDGEMENTS
We would like to thank Jacilane Rabelo for her
support on PABC-Pattern and the collaborators who
participated in the case study. Also, we would like to
thank the support granted by CAPES process AEX
10932/14-3 and by FAPEAM through processes:
062.00146/2012; 062.00600/2014; 062.00578/2014;
01135/2011; Edital 009/2012 - RHTI Doutorado.
REFERENCES
Alavi, M., Leidner, D. E., 2001. Review: Knowledge
management and knowledge management systems:
Conceptual foundations and research issues. In MIS
Quarterly Vol. 25 No. 1, pp. 107-136.
Bhatt, G. D., 2001. Knowledge management in
organizations: examining the interaction between
technologies, techniques, and people. In Journal of
knowledge management, v. 5, n. 1, p. 68-75.
Birk, A., Dingsøyr, T., Stålhane, T., 2002. Postmortem:
Never leave a project without it. In IEEE software, v.
19, n. 3, p. 43-45.
Bjørnson, F. O., Dingsøyr, T., 2008. Knowledge
management in software engineering: A systematic
review of studied concepts, findings and research
methods used. In Information and Software
Technology, 50(11), 1055-1068.
Davenport, T. H., Prusak, L., 1998. The Book. Working
Knowledge: How Organizations Manage What They
Know, Harvard Business School Press, Boston, USA.
Davenport, T.H., Völpel, S.C., 2001. The rise of
knowledge towards attention management. In Journal
of Knowledge Management, Vol. 5 Iss 3 pp. 212 - 222.
Desouza, K., Dingsoyr, T., Awazu, Y., 2005. Experiences
with conducting project postmortems: Reports vs.
Stories and practitioner perspective. In: HICSS'05.
IEEE. Pp. 1-10
Dingsøyr, T., Moe, N. B., Nytrø, Ø., 2001. Augmenting
experience reports with lightweight postmortem
reviews. In Product Focused Software Process
Improvement. Springer Berlin Heidelberg. p. 167-181.
Dingsøyr, T., 2005. Postmortem reviews: purpose and
approaches in software engineering. In Information
and Software Technology, v. 47, n. 5, p. 293-303.
Kim, S. H., Kim, W. J., 2014. Development of Operational
Quality Measurement Attributes of Application
Software Using KJ Method. In Int. J. of Software
Eng.& Its Applications, v. 8, n. 3. pp. 171-188.
Kokogawa, T., Maeda, Y., Ajiki, T., Itou, J., Munemori,
J., 2012. The effect to quality of creativity with
sampling partial data from a large number of idea
cards. In Proc of the ACM 2012 CSCW. pp. 147-150.
Lindvall ,M., Rus ,I., Sinha, S.S., 2003. Software systems
support for knowledge management. In Journal of
Knowledge Management, Vol. 7 Iss: 5, pp.137 - 150.
Myllyaho, M., Salo, O., Kääriäinen, J., Hyysalo, J.,
Koskela, J., 2004. A review of small and large post-
mortem analysis methods. In Proceedings of the
ICSSEA, Paris.pp.1-8
Nonaka, I., Takeuchi, H., 1995. The Book. The
Knowledge-Creating Company: how Japanese
companies create the dynamics of innovation”. New
York: Oxford University Press, 1995, 284p.
Rabelo, J., Viana, D., Santos, G., Conte, T., 2014. Using
Pattern-PABC to Coding Knowledge: An
Experimental Study. In XIII SBQS, p. 13-27. (in
Portuguese)
Rus, I., Lindvall, M. 2002. Knowledge management in
software engineering. In IEEE Software, v. 19, n. 3,
ICEIS2015-17thInternationalConferenceonEnterpriseInformationSystems
164