國立高雄大學圖資館 |

登入

回首頁 到查詢結果 [ subject:"Requirements engineering" ]

Requirements engineeringfoundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Requirements engineeringedited by Vincenzo Gervasi, Andreas Vogelsang.
其他題名:	foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /
其他題名:	REFSQ 2022
其他作者:	Gervasi, Vincenzo.
團體作者:
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvii, 259 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Software engineering
電子資源:	https://doi.org/10.1007/978-3-030-98464-9
ISBN:	9783030984649$q(electronic bk.)

Requirements engineeringfoundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /
Requirements engineeringfoundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /[electronic resource] :REFSQ 2022edited by Vincenzo Gervasi, Andreas Vogelsang. - Cham :Springer International Publishing :2022. - xvii, 259 p. :ill., digital ;24 cm. - Lecture notes in computer science,132160302-9743 ;. - Lecture notes in computer science ;4891..

Artificial Intelligence and Explainability -- Transparency and Explainability of AI Systems: Ethical Guidelines in Practice -- Requirements Engineering for Artificial Intelligence: What is a Requirements Specification for an Artificial Intelligence -- Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering -- Machine Learning -- How Effective Is Automated Trace Link Recovery in Model-Driven Development -- A Zero-Shot Learning Approach to Classifying Requirements: Preliminary Study -- Natural Language Processing -- Abbreviation-Expansion Pair Detection for Glossary Term Extraction -- Towards Explainable Formal Methods: from LTL to Natural Language with Neural Machine Translation -- Req2Spec: Transforming Software Requirements into Formal Specifications using Natural Language Processing -- FRETting About Requirements -- User Stories -- Invest in Splitting: User Story Splitting within the Software Industry -- Guided Derivation of Conceptual Models from User Stories: A Controlled Experiment -- From User Stories to Data Flow Diagram for Privacy Awareness -- Business, Markets, and Industrial Practice -- Requirements Engineering in the Market Dialogue Phase of Public Procurement: A Case Study of an Innovation Partnership for Medical Technology -- A Business Model Construction Kit for Platform Business Models - Research Preview -- On Testing Security Requirements in Industry? -- A Survey Study -- Setting AI in context: A case study on defining the context and operational design domain for automated driving -- Cognition and Expression -- Requirements Engineering for Software-Enabled Art: Challenges and Guidelines -- A Study on the Mental Models of Users Concerning Existing Software -- Vision Video Making with Novices: A Research Preview.

This book constitutes the refereed proceedings of the 28th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2022, which was held in Aston, Birmingham, UK, during March 21-24, 2022. The 12 full and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Artificial intelligence and explainability; machine learning; natural language processing; user stories; business, markets, and industrial practice; and cognition and expression. The special theme for REFSQ 2022 was "Explainability in Requirements Engineering".

ISBN: 9783030984649$q(electronic bk.)

Standard No.: 10.1007/978-3-030-98464-9doiSubjects--Topical Terms:

253562
Software engineering

LC Class. No.: QA76.758 / .R44 2022

Dewey Class. No.: 005.1

Requirements engineeringfoundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings /
LDR:03648nmm a2200349 a 4500 001 622433
003 DE-He213
005 20220308192527.0
006 m d
007 cr nn 008maaau
008 221209s2022 sz s 0 eng d
020 $a 9783030984649$q(electronic bk.)
020 $a 9783030984632$q(paper)
024 7 $a 10.1007/978-3-030-98464-9 $2 doi
035 $a 978-3-030-98464-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.758 $b .R44 2022
072 7 $a UMZ $2 bicssc
072 7 $a COM051230 $2 bisacsh
072 7 $a UMZ $2 thema
082 0 4 $a 005.1 $2 23
090 $a QA76.758 $b .R332 2022
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Requirements engineering $h [electronic resource] : $b foundation for software quality : 28th International Working Conference, REFSQ 2022, Birmingham, UL, March 21-24, 2022 : proceedings / $c edited by Vincenzo Gervasi, Andreas Vogelsang.
246 3 $a REFSQ 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvii, 259 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13216
505 0 $a Artificial Intelligence and Explainability -- Transparency and Explainability of AI Systems: Ethical Guidelines in Practice -- Requirements Engineering for Artificial Intelligence: What is a Requirements Specification for an Artificial Intelligence -- Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering -- Machine Learning -- How Effective Is Automated Trace Link Recovery in Model-Driven Development -- A Zero-Shot Learning Approach to Classifying Requirements: Preliminary Study -- Natural Language Processing -- Abbreviation-Expansion Pair Detection for Glossary Term Extraction -- Towards Explainable Formal Methods: from LTL to Natural Language with Neural Machine Translation -- Req2Spec: Transforming Software Requirements into Formal Specifications using Natural Language Processing -- FRETting About Requirements -- User Stories -- Invest in Splitting: User Story Splitting within the Software Industry -- Guided Derivation of Conceptual Models from User Stories: A Controlled Experiment -- From User Stories to Data Flow Diagram for Privacy Awareness -- Business, Markets, and Industrial Practice -- Requirements Engineering in the Market Dialogue Phase of Public Procurement: A Case Study of an Innovation Partnership for Medical Technology -- A Business Model Construction Kit for Platform Business Models - Research Preview -- On Testing Security Requirements in Industry? -- A Survey Study -- Setting AI in context: A case study on defining the context and operational design domain for automated driving -- Cognition and Expression -- Requirements Engineering for Software-Enabled Art: Challenges and Guidelines -- A Study on the Mental Models of Users Concerning Existing Software -- Vision Video Making with Novices: A Research Preview.
520 $a This book constitutes the refereed proceedings of the 28th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2022, which was held in Aston, Birmingham, UK, during March 21-24, 2022. The 12 full and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Artificial intelligence and explainability; machine learning; natural language processing; user stories; business, markets, and industrial practice; and cognition and expression. The special theme for REFSQ 2022 was "Explainability in Requirements Engineering".
650 0 $a Software engineering $3 253562
650 0 $a Requirements engineering $v Congresses. $3 451418
650 0 $a Computer software $x Quality control $v Congresses. $3 446431
650 1 4 $a Software Engineering. $3 274511
650 2 4 $a Computer and Information Systems Applications. $3 913125
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Programming Techniques. $3 274470
700 1 $a Gervasi, Vincenzo. $3 924217
700 1 $a Vogelsang, Andreas. $3 924218
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-030-98464-9
950 $a Computer Science (SpringerNature-11645)