國立虎尾科技大學 |

Human Error Assessment in Software Engineering.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Human Error Assessment in Software Engineering./
作者:	Meyers, Benjamin S.
面頁冊數:	1 online resource (201 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Contained By:	Dissertations Abstracts International85-06B.
標題:	Information technology. -
電子資源:	click for full text (PQDT)
ISBN:	9798381111682

Human Error Assessment in Software Engineering.
Meyers, Benjamin S.

Human Error Assessment in Software Engineering. - 1 online resource (201 pages)

Source: Dissertations Abstracts International, Volume: 85-06, Section: B.

Thesis (Ph.D.)--Rochester Institute of Technology, 2023.

Includes bibliographical references

Software engineers work under strict constraints, balancing a complex, multi-phase development process on top of user support and professional development. Despite their best efforts, software engineers experience human errors, which manifest as software defects. While some defects are simple bugs, others can be costly security vulnerabilities. Practices such as defect tracking and vulnerability disclosure help software engineers reflect on the outcomes of their human errors (i.e. software failures), and even the faults that led to those failures, but not the underlying human behaviors. While human error theory from psychology research has been studied and applied to medical, industrial, and aviation accidents, researchers are only beginning to systematically reflect on software engineers' human errors. Some software engineering research has used human error theories from psychology to help developers identify and organize their human errors (mistakes) during requirements engineering activities, but developers need an improved and systematic way to reflect on their human errors during other phases of software development. The goal of this dissertation is to help software engineers confront and reflect on their human errors by creating a process to document, organize, and analyze human errors. To that end, our research comprises three phases: (1) systematization (i.e. identification and taxonomization) of software engineers' human errors from literature and development artifacts into a Taxonomy of Human Errors in Software Engineering (T.H.E.S.E.), (2) evaluation and refinement of T.H.E.S.E. based on software engineers' perceptions and natural language insights, and (3) creation of a human error informed micro post-mortem process and the Human Error Reflection Engine (H.E.R.E.), a proof-of-concept GitHub workflow facilitating human error reflection. In demonstrating the utility of T.H.E.S.E. and our micro post-mortem process, the software development community will be closer to inculcating the wisdom of historical developer human errors, enabling them to engineer higher quality and more secure software.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381111682Subjects--Topical Terms:

559429
Information technology.
Subjects--Index Terms:

Human errorsIndex Terms--Genre/Form:

554714
Electronic books.

Human Error Assessment in Software Engineering.
LDR:03495ntm a22003977 4500 001 1143896
005 20240517105021.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798381111682
035 $a (MiAaPQ)AAI30811280
035 $a AAI30811280
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Meyers, Benjamin S. $3 1468705
245 1 0 $a Human Error Assessment in Software Engineering.
264 0 $c 2023
300 $a 1 online resource (201 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
500 $a Advisor: Meneely, Andrew.
502 $a Thesis (Ph.D.)--Rochester Institute of Technology, 2023.
504 $a Includes bibliographical references
520 $a Software engineers work under strict constraints, balancing a complex, multi-phase development process on top of user support and professional development. Despite their best efforts, software engineers experience human errors, which manifest as software defects. While some defects are simple bugs, others can be costly security vulnerabilities. Practices such as defect tracking and vulnerability disclosure help software engineers reflect on the outcomes of their human errors (i.e. software failures), and even the faults that led to those failures, but not the underlying human behaviors. While human error theory from psychology research has been studied and applied to medical, industrial, and aviation accidents, researchers are only beginning to systematically reflect on software engineers' human errors. Some software engineering research has used human error theories from psychology to help developers identify and organize their human errors (mistakes) during requirements engineering activities, but developers need an improved and systematic way to reflect on their human errors during other phases of software development. The goal of this dissertation is to help software engineers confront and reflect on their human errors by creating a process to document, organize, and analyze human errors. To that end, our research comprises three phases: (1) systematization (i.e. identification and taxonomization) of software engineers' human errors from literature and development artifacts into a Taxonomy of Human Errors in Software Engineering (T.H.E.S.E.), (2) evaluation and refinement of T.H.E.S.E. based on software engineers' perceptions and natural language insights, and (3) creation of a human error informed micro post-mortem process and the Human Error Reflection Engine (H.E.R.E.), a proof-of-concept GitHub workflow facilitating human error reflection. In demonstrating the utility of T.H.E.S.E. and our micro post-mortem process, the software development community will be closer to inculcating the wisdom of historical developer human errors, enabling them to engineer higher quality and more secure software.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Information technology. $3 559429
650 4 $a Psychology. $3 555998
650 4 $a Computer science. $3 573171
653 $a Human errors
653 $a Software engineering
653 $a Software defects
653 $a Taxonomization
653 $a Aviation accidents
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0621
690 $a 0489
710 2 $a Rochester Institute of Technology. $b Software Engineering. $3 1468706
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Dissertations Abstracts International $g 85-06B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30811280 $z click for full text (PQDT)