A multi-agent model for planning hybrid software processes

Wysocki, Włodzimierz; Orłowski, Cezary

doi:10.1016/j.procs.2019.09.339

Cited by 15 publications

(13 citation statements)

References 6 publications

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“…For instance, ISBSG was used for software defect estimation, 61 relationships between productivity, team size, and other project variables, 62 project management using multi-agent systems, 63 and building decision support models that assist managers in determining the priorities of the CMMI process. 64 Besides, the data sets contained mixed data (numerical and categorical) further strengthening generalization of our experiments. However, we cannot assume that this is sufficient to enable us to draw general conclusions.…”

Section: External Validitymentioning

confidence: 57%

Fuzzy case‐based‐reasoning‐based imputation for incomplete data in software engineering repositories

Abnane

Idri

Abran

2020

J Software Evolu Process

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Missing data is a serious issue in software engineering because it can lead to information loss and bias in data analysis. Several imputation techniques have been proposed to deal with both numerical and categorical missing data. However, most of those techniques used is simple reuse techniques originally designed for numerical data, which is a problem when the missing data are related to categorical attributes. This paper aims (a) to propose a new fuzzy case‐based reasoning (CBR) imputation technique designed for both numerical and categorical data and (b) to evaluate and compare the performance of the proposed technique with the k‐nearest neighbor (KNN) imputation technique in terms of error and accuracy under different missing data percentages and missingness mechanisms in four software engineering data sets. The results suggest that the proposed fuzzy CBR technique outperformed KNN in terms of imputation error and accuracy regardless of the missing data percentage, missingness mechanism, and data set used. Moreover, we found that the missingness mechanism has an important impact on the performance of both techniques. The results are encouraging in the sense that using an imputation technique designed for both categorical and numerical data is better than reusing methods originally designed for numerical data.

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Section: External Validitymentioning

confidence: 57%

Fuzzy case‐based‐reasoning‐based imputation for incomplete data in software engineering repositories

Abnane

Idri

Abran

2020

J Software Evolu Process

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“…The strengths of both models will then be addressed. This section will also explore the existing hybrid agile model studied by [3], [5], [6], [12].…”

Section: Related Studymentioning

confidence: 99%

Hybrid agile development phases: the practice in software projects as performed by software engineering team

Yahya

Maidin²

2023

IJEECS

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<span lang="EN-US">The combination of scrum and waterfall is one of the software engineering teams that preferred hybrid agile models. The purpose of combining the two models is to leverage the advantages of each also to tailor the hybrid agile model to the needs of the project. However, to what extent are the phases, stages, and features of scrum and waterfall implemented in a software project remains unclear. Additionally, which phase will employ scrum, and when will waterfall be deemed optimal is also the arising question. This research adopted a qualitative study, and interviews are used as a data collection instrument. The interview is conducted based on an interview protocol, and thematic analysis is utilized to extract the themes from the interviews. This study investigates how the scrum and waterfall models are utilized in a software project, and three themes were identified in answering the research question. The findings indicate five development phases in a hybrid agile project and that waterfall is the preferable model in planning, while development is on scrum, and project testing and deployment could be either waterfall or scrum.</span>

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“…Wysocki and Orłowski [17] proposed in 2019 a scrum‐based methodology using a multi‐agent simulation system to meet the requirements of stakeholders. They have also implemented multi‐agent modelling to extract meta‐data and evaluate the SCRUM and RUP software production processes and the appropriate methods and tools for project planning.…”

Section: State Of the Artmentioning

confidence: 99%

Using system dynamics to teach about dependencies, correlation and systemic thinking on the software process workflows

et al. 2021

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It is important to count on tools to help software professionals to evaluate the software process and how it may be affected by factors related to its deployment. Simulation models are a valuable means to illustrate the behaviour of such a process since scenario generation supports the prediction of potential outcomes and the prevention of undesired scenarios which are harmful to the process and the company in charge of the project to be developed. This work explores the effectiveness of introducing system dynamics (SD) models in the software engineers' process of understanding, from a management perspective, the software process dynamics. The used SD simulation model of the software process emphasises the representation of an iterative process. The COCOMO II model drivers and their main attributes were used, providing a set of reference factors that affect the software process, the estimation of project cost and the effort required. A set of 59 junior software professionals with no previous knowledge about SD participated in a validation study. For simple predictive scenarios, there was no important improvement effect, while for more complex predictive scenarios SD helped them to guess better and provide a rationale for the expected behaviour of the software process performance.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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A multi-agent model for planning hybrid software processes

Cited by 15 publications

References 6 publications

Fuzzy case‐based‐reasoning‐based imputation for incomplete data in software engineering repositories

Fuzzy case‐based‐reasoning‐based imputation for incomplete data in software engineering repositories

Hybrid agile development phases: the practice in software projects as performed by software engineering team

Using system dynamics to teach about dependencies, correlation and systemic thinking on the software process workflows

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