Exploring process improvement decisions to support a rapidly evolving developer base

Mesh, Erika S.; Tolar, David; Hawker, J. Scott

doi:10.1145/2889160.2889209

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…Training and experience are gained by the software engineers for optimization process of software developments. Mesh et al [29] have outlined to address the empirical, theoretical, and practical challenges of decision makers' skill levels to effectively self-drive their SPI effort based on their individual constraints and goals. Esmaeilzadeh et al [30] proposed a study with the aim to enhance the skills of system of systems engineering by mounting an agent base model of team collaboration in operational system of systems.…”

Section: Multicriteria Decision Making To Continuous Software Improvementmentioning

confidence: 99%

Library-Based Overview of Multicriteria Decision Making for Continuous Software Improvement for Internet of Software Industry

Xiaolong

Nazir

Zhong

et al. 2021

Scientific Programming

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The revolution in software development is increasing with the use of advanced techniques and tools. Software development organizations are considering standards, methods, approaches, and tools to support them in maintaining the effectiveness of software. An effective implementation of software process improvement (SPI) is important in order to gain effectiveness in the software industry. Disasters are happening in software projects and industry of software, which hinder the success of software and ultimately lead the software to failure. Peoples of organizations are demanding to devise methodological approaches for reducing the failure rate of software, but it perceived slight success. The proposed study’s aim is to offer multicriteria decision making for continuous Internet of software industry and to report the literature to early decision making associated to software developments. The study has devised a comprehensive overview of the existing methodological approaches, tools, and mechanisms applied in software improvement for the software industry and is based on multicriteria decision making. The research has analyzed the available literature from different perspectives and then reported it. The results of the study will help researchers to devise new solutions for effective software process improvement, and the this study will consider as a support of evidence.

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Section: Multicriteria Decision Making To Continuous Software Improvementmentioning

confidence: 99%

Library-Based Overview of Multicriteria Decision Making for Continuous Software Improvement for Internet of Software Industry

Xiaolong

Nazir

Zhong

et al. 2021

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…42 Therefore, in addition to knowing the decision contents, methods and processes, we also need to know which factors affect individual decision-making. Obviously, personal factors may affect individual decision-making, for example, personal preferences 49 , individual experiences 42 , and personal personality and knowledge. 10 However, in software projects, individual decision-making is a complex process, and also depends on environmental factors.…”

Section: Environmental Factors and Software Projectsmentioning

confidence: 99%

Grouping environmental factors influencing individual decision‐making behavior in software projects: A cluster analysis

Jia

Capretz

et al. 2017

J Software Evolu Process

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An individual's decision-making behavior is heavily influenced by and adapted to external environmental factors. Given that software development is a human-centered activity, individual decision-making behavior may affect the software project quality. Although environmental factors affecting decision-making behavior in software projects have been identified in prior literature, there is not yet an objective and a full taxonomy of these factors. Thus, it is not trivial to manage these complex and diverse factors. To address this deficiency, we first design a semantic similarity algorithm between words by utilizing the synonymy and hypernymy relationships in WordNet. Further, we propose a method to measure semantic similarity between phrases and apply it into k-means clustering algorithm to group these factors. Subsequently, we obtain a taxonomy of the environmental factors affecting individual decision-making behavior in software projects, which includes 11 broad categories, each containing 2 to 5 sub-categories. The taxonomy presented herein is obtained by an objective method, and quite comprehensive, with appropriate references provided. The taxonomy holds significant value for researchers and practitioners; it can help them to better understand the major aspects of environmental factors, also to predict and guide the behavior of individuals during decision making towards a successful completion of software projects. KEYWORDScluster analysis, decision-making behavior, environmental factor, semantic similarity, WordNet | INTRODUCTIONDuring software development and evolution, many decisions have to be made concerning people, processes, techniques, and tools.1 For example, facing conflicts, some developers choose a positive cooperative strategy, but others choose a negative avoidance strategy. What makes software engineers choose different decision-making behaviors? Different decision-making behaviors bring different outcomes, so the project's success depends on how individuals in a team deal with problems and make decisions. Although many tools and techniques (for example, checklists, and decision models) have been proposed to assist decision making in software projects, no one can explain how people make decisions in their contexts. 1 Individual decision-making behavior is still seldom focused on in software projects, although it is important for software development and evolution. Recently, Lenberg et al 2 proposed a concept of behavioral software engineering by taking cues from behavioral economics, which underpins the research that focuses on behavioral aspects of software engineers.According to social cognitive theory, overt behavior is influenced by intrinsic personal factors and extrinsic environmental factors. 3,4 Therefore, the factors influencing individual decision-making behavior include 2 aspects: personal and environmental factors. Personal factors, especially personality, have been explored a lot in the software engineering (SE) domain. Environmental factors are also known as situational or...

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Exploring process improvement decisions to support a rapidly evolving developer base

Cited by 2 publications

References 19 publications

Library-Based Overview of Multicriteria Decision Making for Continuous Software Improvement for Internet of Software Industry

Library-Based Overview of Multicriteria Decision Making for Continuous Software Improvement for Internet of Software Industry

Grouping environmental factors influencing individual decision‐making behavior in software projects: A cluster analysis

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