Assisting the continuous improvement of <i>Scrum</i> projects using metrics and Bayesian networks

Perkusich, Mirko; Gorgônio, Kyller Costa; Almeida, Hyggo; Perkusich, Angelo

doi:10.1002/smr.1835

Cited by 21 publications

(27 citation statements)

References 41 publications

(100 reference statements)

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“…Previous versions of the BN were presented in Perkusich et al [14] and Perkusich et al [13]. In this paper, we present the most recent version.…”

Section: Base Bn Constructionmentioning

confidence: 99%

“…From the 14 known Scrum anti-patterns, 1 is invalid, 12 were directly detected and 1 was indirectly detected by the constructed model. Even though our solution is an evolution of published studies [14,13], which were evaluated in the industry, the main limitation of this study is the validation process. As future works, we will evaluate the proposed framework through case studies in the industry.…”

Section: Final Remarksmentioning

confidence: 99%

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A Framework to Build Bayesian Networks to Assess Scrum-based Development Methods

Perkusich

Gorgônio

Almeida

et al. 2017

International Conferences on Software Engineering and Knowledge Engineering

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Agile software development has been increasingly used to satisfy the need to respond to fast moving market demand and gain market share. Scrum, which is a project management framework, dominates as the most popular agile method. In the literature, there are a number of solutions to customize and assess Scrum-based agile methods, but they are limited to focus only on process factors, assume a predefined set of practices or rely only on subjective evaluation. This paper presents a framework to build a Bayesian Network to assist on the assessment of Scrum-based software development methods. The BN models the main entities of the software development process and can be complemented with software practices and metrics. To evaluate the completeness of our solution, we performed simulations to check if the proposed framework diagnoses 14 known Scrum anti-patterns extracted from the literature. 12 antipatterns were directly detected, 1 was indirectly detected by the BN and 1 was considered as invalid. We concluded that the proposed solution is complete to detect the major flaws of Scrum-based software development methods and can be used to assist on the configuration, adoption and continuous improvement of Scrum teams.

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“…Previous versions of the BN were presented in Perkusich et al [14] and Perkusich et al [13]. In this paper, we present the most recent version.…”

Section: Base Bn Constructionmentioning

confidence: 99%

Section: Final Remarksmentioning

confidence: 99%

A Framework to Build Bayesian Networks to Assess Scrum-based Development Methods

Perkusich

Gorgônio

Almeida

et al. 2017

International Conferences on Software Engineering and Knowledge Engineering

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“…The majority of LPS implementations have been in the construction industry, in design and construction stages and for the management of prefabricated building systems (Ballard and Howell 1994;Ballard and Howell 1998;Ballard 2000;Castillo et al 2018). By contrast, Scrum has been mostly used in the software industry (Rising and Janoff 2000;Schwaber and Beedle 2002;Conboy 2009;Dingsøyr et al 2012;Perkusich et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Combining Lean and Agile Project Management in a Multi-Project Environment: Case Study in a Retail Company

Hamerski¹,

Formoso²,

Isatto³

et al. 2019

Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC)

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Both the Last Planner System (LPS) and Scrum have been suggested as suitable planning and control methods for dealing with complex project environments. However, most previous studies have investigated the use of those methods for planning and control in single projects, in general managed separately from other projects. This paper reports the results of an investigation which aims to propose a planning and control model for managing construction projects in a multi-project environment. Using Design Science Research (DSR) as a methodological approach, an empirical study has been carried out in a fashion retailer company from Brazil. The model has been built by using a research strategy similar to Action Research. These are the main findings so far: (a) the nature of the project management activities demand a different planning and control approach, compared to what is normally found in relation to planning and control design or construction; and (b) there are challenges on the systematic use of performance measures to support learning and decision-making. These initial conclusions will serve as a basis for incorporating improvements in the model. KEYWORDSLean construction, agile project management, planning and control, project management, construction projects.projects are built in different parts of the country, and in other Latin American countries. The company has a Department of Architecture and Engineering (DAE), which is in charge of managing the design and construction stages. DAE coordinates the work of several types of suppliers, including designers, construction management companies, general contractors, and furniture suppliers, which are directly responsible for the design and delivery of the projects. In the department routine, multiple projects are developed simultaneously, with relatively short lead-time (typically within a year). Some of them are refurbishment or retrofit projects. The individual characteristics of each project and the fact that there is some degree of interdependence between projects, due to shared resources, make this project management environment highly complex. Before the beginning of this study, the company had been adopting a very traditional project management approach, strongly based on the Project Management Body of Knowledge (PMBOK), produced by the Project Management Institute (PMI): Critical Path Method (CPM) as a planning and control tool, emphasis on the control of deliverables, performance measurement focused on results, etc. Based on an assessment of the company's project deliverable system, one of the main improvement opportunities identified was to change the planning and control process, which included both design and construction stages at a project management level. In fact, the company had been faced several problems related to additional costs, project delays and lack of quality.The underlying assumptions of project management have evolved over time in an attempt to improve managers' ability to cope with different circumstances (Laufer et al. 1996). Althoug...

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“…Bayesian Network (BN) is a mathematical model that graphically and numerically represents the probabilistic relationships between random variables through Bayes theorem. Recently, given the evolution of the computational capacity, which enabled the calculation of complex BNs, it has become a popular technique to assist on decisionmaking [7] and it has been applied in several areas such as large-scale engineering projects [12], software engineering [16,14], and sports management [4].…”

Section: Introductionmentioning

confidence: 99%

Improving the Applicability of the Ranked Nodes Method to build Expert-Driven Bayesian Networks (S)

Nunes

Silva

Perkusich

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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One challenge in constructing a Bayesian network (BN) is defining the node probability tables (NPTs), which can be learned from data or elicited from domain experts. In practice, for large-scale BN it is common not to have enough data for learning and elicitation from experts is unfeasible. Previous work proposed a solution to this problem: the Ranked Nodes Method (RNM). However, this solution needs to be applied by a RNM expert who, through the elicitation of expert judgement, identifies the necessary parameters for the RNM algorithm to generate the NPTs. Hence, this paper presents a novel approach to define NPT using the RNM with no ranked nodes-specific knowledge. The solution is named Simulated Bayesian Network Expert (SBNE). It consists of eliciting a subset of the NPT from the domain experts which is used as input to an algorithm that estimates the optimal parameters for the RNM to generate the NPTs. To validate our solution, we conducted an experiment with multiple domain experts and compared the results with other methods. Our solution outperformed the other methods (producing NPTs at least 12% more accurate) and is, therefore, a promising approach to apply RNM without relying on RNM experts.

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Assisting the continuous improvement of Scrum projects using metrics and Bayesian networks

Cited by 21 publications

References 41 publications

A Framework to Build Bayesian Networks to Assess Scrum-based Development Methods

A Framework to Build Bayesian Networks to Assess Scrum-based Development Methods

Combining Lean and Agile Project Management in a Multi-Project Environment: Case Study in a Retail Company

Improving the Applicability of the Ranked Nodes Method to build Expert-Driven Bayesian Networks (S)

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