Software defect prevention based on human error theories

Huang, Fuqun; Liu, Bin

doi:10.1016/j.cja.2017.03.005

Cited by 37 publications

(26 citation statements)

References 66 publications

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“…The proposed approach to prediction can be highly rewarding in software engineering because if the location and form of the likely defect are predicted, one can prevent the defect in a real sense. Huang's previous study [13] suggests that systematic instruction on human error is beneficial to programmers' ability to prevent defects; however, how to relate a programmer's general knowledge of human errors to his/her task at hand remains a challenge. The proposed method is a prime candidate for addressing this challenge.…”

Section: Discussionmentioning

confidence: 99%

Predicting Software Defects Based on Cognitive Error Theories

Huang

Strigini

2018

2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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As the primary cause of software defects, human error is the key to understanding and perhaps to predicting and preventing software defects. However, little research has been done to forecast software defects based on defects' cognitive nature. This paper proposes an idea for predicting software defects by applying the current scientific understanding of human error mechanisms. This new prediction method is based on the main causal mechanism underlying software defects: an error-prone scenario triggers a sequence of human error modes. Preliminary evidence for supporting this idea is presented.

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Section: Discussionmentioning

confidence: 99%

Predicting Software Defects Based on Cognitive Error Theories

Huang

Strigini

2018

2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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“…These error modes were observed to manifest themselves in software development contexts in the author's previous experimental studies [5,7,13] or industrial historical data [8]. More software defects examples associated with these human error modes can be found in [18].…”

Section: Human Error Modesmentioning

confidence: 93%

“…Huang [18] also developed an approach called defect prevention based on human error theories (DPeHE) to proactively prevent software defects by promoting software developers' cognitive ability of human error prevention. Compared to the conventional defect prevention that focuses on organizational software process improvement, DPeHE focuses more on software developers' metacognitive ability to prevent cognitive errors.…”

Section: Software Fault Prevention Based On Human Error Mechanismsmentioning

confidence: 99%

Human Error Analysis in Software Engineering

Huang¹

2017

Theory and Application on Cognitive Factors and Risk Management - New Trends and Procedures

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As the primary cause of software defects, human error is the key to understanding, detecting and preventing software defects. This chapter irst reviews the state of art of an emerging area: software fault defense based on human error mechanisms. Then, an approach for human error analysis (HEA) is proposed. HEA consists of two important components: human error modes (HEM) and an undated version of causal mechanism graphs (CMGs). Human error modes are the general erroneous paterns that humans tend to behave in a variety of activities. Causal mechanism graph provides a way to extract the error-prone contexts in software development, and link the contexts to general human error modes. HEA can be used at various phases of software development, for both defect detection and prevention purposes. An application case is provided to demonstrate how to use HEA.

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“…Software product development and defect identification are the tasks for various specialist groups [18,19]. This leads to the impossibility of forming a correlation table.…”

Section: Formal Problem Statementmentioning

confidence: 99%

Providing Functional Safety of Hardware-Software Complexes as Mandatory Condition of Forming Digital Eco-Environment at Innovative Project Implementation

Gvozdev¹,

Levkov²,

Blinova³

et al. 2019

Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

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A key part digital eco-environment plays at the implementation of innovative projects brings about qualitative changes of requirements towards the functional safety of hardware-software complexes. The paper dwells upon the issues of increasing the functional safety of hardware-software complexes by means of reasonable resource allocation for locating and eliminating defects. The purpose of the research is the development of the information support of planning resources for defect elimination in software modules. The scientific idea is the development of the method of building linear regression dependencies on the basis of common use of expert assessments and measuring data. The approach novelty consists in the transformation of expert assessments and measuring data towards a single form of the random value distribution law.

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Software defect prevention based on human error theories

Cited by 37 publications

References 66 publications

Predicting Software Defects Based on Cognitive Error Theories

Predicting Software Defects Based on Cognitive Error Theories

Human Error Analysis in Software Engineering

Providing Functional Safety of Hardware-Software Complexes as Mandatory Condition of Forming Digital Eco-Environment at Innovative Project Implementation

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