Abstract
Petrobras is a large publicly-held company that operates in the oil, gas and energy industry. Recently, they conducted internal dynamics to identify several Digital Transformation (DT) opportunities to leverage their operational excellence. Addressing such opportunities typically requires Research and Development (R&D) uncertainties that could lead traditional R&D cooperation terms to be negotiated in years. However, there are time-to-market constraints for fast-paced deliveries to experiment solution options. With this in mind, they partnered up with PUC-Rio to establish a new DT initiative. The goal of this paper is to present the Lean R&D approach, tailored within this new initiative, and results of two case studies regarding its application in practice. We designed Lean R&D integrating the following building blocks: (i) Lean Inceptions, to allow stakeholders to jointly outline a Minimal Viable Product (MVP); (ii) early parallel technical feasibility assessment and conception phases, allowing to ‘fail fast’; (iii) scrum-based development management; and (iv) strategically aligned continuous experimentation to test business hypotheses. In the two reported case studies, Lean R&D enabled addressing research-related uncertainties early and to efficiently deliver valuable MVPs within four months, showing itself suitable for supporting the DT initiative. Key success factors were the business strategy alignment, the defined roles and co-creation philosophy with strong integration between Petrobras and PUC-Rio’s teams, and continuous support of a highly qualified research team. Main opportunities for improvement, based on our lessons learned, rely on better adapting Lean Inceptions to the DT context and on scaling the approach to a project portfolio level of abstraction.
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Notes
- 1.
Since March 23rd activities moved to home-office due to COVID-19. Following the recommendations in [24] as much as possible and using proper remote tool support (Microsoft Azure DevOps and Teams) allowed us to keep the Lean R&D approach running remotely.
References
Matt, C., Hess, T., Benlian, A.: Digital transformation strategies. Bus. Inf. Syst. Eng. 57(5), 339–343 (2015)
Fitzgerald, B., Stol, K.J.: Continuous software engineering: a roadmap and agenda. J. Syst. Softw. 123, 176–189 (2017)
Caroli, P.: Lean Inception: how to align people and build the right product. Editora Caroli (2018)
Fagerholm, F., Guinea, A.S., Mäenpää, H., Münch, J.: The RIGHT model for continuous experimentation. J. Syst. Softw. 123, 292–305 (2017)
Kalinowski, M., Batista, S.T., Lopes, H. et al.: Towards lean R&D: an agile research and development approach for digital transformation. In: Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Portoroz, Slovenia, 5 p. (2020, in press)
Reinertsen, D., Shaeffer, L.: Making R&d lean. Res. Technol. Manage. 48(4), 51–57 (2015)
Ries, E.: The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation To Create Radically Successful Businesses. Crown Business, New York (2011)
Debois, P.: Devops: a software revolution in the making. J. Inf. Technol. Manage. 24(8), 3–39 (2011)
Bosch, J.: Building products as innovation experiment systems. In: Cusumano, M.A., Iyer, B., Venkatraman, N. (eds.) ICSOB 2012. LNBIP, vol. 114, pp. 27–39. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30746-1_3
Ohno, T.: Toyota Production System: Beyond Large-Scale Production. CRC Press, Boca Raton (1988)
Wagner, S., Mendez, D., Felderer, M., et al.: Status quo in requirements engineering: a theory and a global family of surveys. ACM Trans. Softw. Eng. Methodol. (TOSEM) 28(2), 1–48 (2019)
Thomas, D., Hunt, A.: The Pragmatic Programmer: Your Journey to Mastery, 2nd edn. Addison-Wesley Professional, Boston (2019)
Mendes, T.S., de Freitas Farias, M.A., Mendonçam M., et al.: Impacts of agile requirements documentation debt on software projects: a retrospective study. In: Proceedings of the ACM Symposium on Applied Computing (SAC), Pisa, Italy, pp. 1290–1295 (2016)
Smart, J.F.: BDD in Action: Behavior-Driven Development for the Whole Software Lifecycle. Manning, Shelter Island (2015)
Aurum, A., Petersson, H., Wohlin, C.: State-of-the-art: software inspections after 25 years. Softw. Test. Verif. Reliab. 12(3), 133–154 (2002)
Boehm, B., Basili, V.R.: Software defect reduction top 10 list. IEEE Comput. 34(1), 135–137 (2001)
Mendez, D., Wagner, S., Kalinowski, M., et al.: Naming the pain in requirements engineering – contemporary problems, causes, and effects in practice. Empirical Softw. Eng. 22(5), 2298–2338 (2017)
Bacchelli, A., Bird, C.: Expectations, outcomes, and challenges of modern code review. In: International Conference on Software Engineering, San Francisco, USA, pp. 712–721 (2013)
Kalinowski, M., Mendes, E., Card, D. N., Travassos, G. H.: Applying DPPI: a defect causal analysis approach using bayesian networks. In: International Conference on Product Focused Software Process Improvement (PROFES), Oulu, Finland, pp. 92–106 (2010)
Runeson, P., Host, M., Rainer, A., Regnell, B.: Case Study Research in Software Engineering: Guidelines and Examples. Wiley, Hoboken (2012)
Basili, V.R., Rombach, H.D.: The TAME project: towards improvement-oriented software environments. IEEE Trans. Software Eng. 14(6), 758–773 (1998)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Turner, M., Kitchenham, B., Brereton, P., Charters, S., Budgen, D.: Does the technology acceptance model predict actual use? A systematic literature review. Inf. Softw. Technol. 52(5), 463–479 (2010)
Ralph, P., Baltes, S., Adisaputri, G., et al.: Pandemic programming: how COVID-19 affects software developers and how their organizations can help. Empirical Softw. Eng. 34 p. (2020, in press)
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The authors would like to thank all ExACTa PUC-Rio and Petrobras employees involved in the projects for their trust and dedication to the new initiative.
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Kalinowski, M. et al. (2020). Lean R&D: An Agile Research and Development Approach for Digital Transformation. In: Morisio, M., Torchiano, M., Jedlitschka, A. (eds) Product-Focused Software Process Improvement. PROFES 2020. Lecture Notes in Computer Science(), vol 12562. Springer, Cham. https://doi.org/10.1007/978-3-030-64148-1_7
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