國立虎尾科技大學 |

TraceME: A Traceability-Based Method for Conceptual Model Evolution = Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual Model Evolution /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	TraceME: A Traceability-Based Method for Conceptual Model Evolution / by Marcela Ruiz.
其他題名:	Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual Model Evolution /
作者:	Ruiz, Marcela.
面頁冊數:	XV, 276 p. 133 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Software engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-89716-5
ISBN:	9783319897165

TraceME: A Traceability-Based Method for Conceptual Model Evolution = Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual Model Evolution /
Ruiz, Marcela.

TraceME: A Traceability-Based Method for Conceptual Model Evolution Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual Model Evolution /[electronic resource] :by Marcela Ruiz. - 1st ed. 2018. - XV, 276 p. 133 illus.online resource. - Lecture Notes in Business Information Processing,3121865-1348 ;. - Lecture Notes in Business Information Processing,206.

1.1 Problem statement -- 1.2 Research method -- 1.2.1 Research goals and research questions -- 1.2.2 Engineering, design and empirical cycles -- 1.3 Means to achieve the main research goal -- 1.4 The TraceME method in a nutshell -- 1.5 Outline of the book -- 2.1 Traceability in conceptual model evolution -- 2.2 Measuring conceptual models evolution -- 2.3 Model-driven organisational reengineering frameworks -- 2.4 Goal-driven requirements engineering -- 2.5 Evolution requirements and information system co-evolution -- 2.6 TraceME and related MDD solutions -- 2.7 Summary -- 3.1 The basics -- 3.2 A theoretical framework for model-driven development -- 3.3 A theoretical framework for organisational reengineering -- 3.4 Summary -- 4.1 Introduction -- 4.2 Background and running example -- 4.2.1 The i* framework in a nutshell -- 4.2.2 The Communication Analysis method in a nutshell -- 4.3 The GoBIS framework -- 4.3.1 Research Method -- 4.3.2 Modelling language integration -- 4.3.3 Ontological mapping between i* and CA -- 4.3.4 Metamodel integration: the GoBIS metamodel -- 4.4 iStar2ca guidelines: top-down scenario guidelines -- 4.5 evolCA procedure: evolution scenario procedure -- 4.6 ca2oom integration framework. -4.7 Delta analysis -- 4.7.1 Delta models specification -- 4.7.2 Delta models measurement -- 4.7.3 Delta models and metrics interpretation report -- 4.7.4 Delta analysis metamodel -- 4.8 Summary -- 5.1 Motivation -- 5.2 TraceME method: the construction -- 5.3 A method engineering effort to construct TraceME -- 5.4 The TraceME Method -- 5.4.1 Introduction -- 5.4.2 Perspective -- 5.4.3 Framework -- 5.4.4 Cooperation principles -- 5.5 Method chunk iStar2ca guidelines -- 5.5.1 Concepts -- 5.5.2 Procedure -- 5.5.3 Notation -- 5.6 Method chunk ca2oom integration framework -- 5.6.1 Concepts -- 5.6.2 Procedure -- 5.6.3 Notation -- 5.7 Method chunk evolCA procedure -- 5.7.1 Concepts -- 5.7.2 Procedure -- 5.7.3 Notation -- 5.8 Method chunk Delta Analysis -- 5.8.1 Concepts -- 5.8.2 Procedure -- 5.8.3 Notation -- 5.9 Situational-oriented assembling of the TraceME chunks -- 5.10 Summary -- 6.1 Introduction. -6.2 Validation of the iStar2ca guidelines – a laboratory demonstration and comparative experiment -- 6.2.1 Laboratory demonstration -- 6.2.2 Comparative experiment -- 6.3 Validation of the Delta Analysis technique: Action research experience in everis Spain -- 6.3.1 Design of the action research in everis -- 6.3.2 Discussion -- 6.4 Validation of the ca2oom integration framework: an experiment for sensitive analysis -- 6.4.1 Experimental design -- 6.4.2 Experimental procedure -- 6.4.3 Conclusions and lessons learnt -- 6.5 Validation of the evolCA procedure: A feasibility analysis -- 6.5.1 Design and procedure -- 6.5.2 Conclusions and lessons learnt -- 6.6 Summary -- 7.1 Introduction -- 7.2 The GREAT Process Modeller -- 7.3 Plug-in for the GoBIS framework -- 7.4 Plug-in the Delta Analysis technique -- 7.5 Summary -- 8.1 Wrap up: main contributions -- 8.2 Open challenges.

This book presents TraceME, a traceability-based method for conceptual model evolution whose general purpose is to support the evolution of information systems. By providing a set of four TraceME chunks, TraceME is situational-oriented. In this way, it can be adapted to support different evolution projects by just assembling the TraceME chunks. To facilitate its industrial adoption, open source tools were developed and described which support the implementation of the TraceME chunks. The work presented highlights various research endeavors for the development of methods and techniques to automate the evolution of software systems. It explores the requirements engineering field as a steppingstone to a successful software development processes. In 2017, the underlying PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering.

ISBN: 9783319897165

Standard No.: 10.1007/978-3-319-89716-5doiSubjects--Topical Terms:

562952
Software engineering.

LC Class. No.: QA76.758

Dewey Class. No.: 005.1

TraceME: A Traceability-Based Method for Conceptual Model Evolution = Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual Model Evolution /
LDR:05422nam a22004095i 4500 001 993196
003 DE-He213
005 20200704182001.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319897165 $9 978-3-319-89716-5
024 7 $a 10.1007/978-3-319-89716-5 $2 doi
035 $a 978-3-319-89716-5
050 4 $a QA76.758
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
100 1 $a Ruiz, Marcela. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1203530
245 1 0 $a TraceME: A Traceability-Based Method for Conceptual Model Evolution $h [electronic resource] : $b Model-Driven Techniques, Tools, Guidelines, and Open Challenges in Conceptual Model Evolution / $c by Marcela Ruiz.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XV, 276 p. 133 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Business Information Processing, $x 1865-1348 ; $v 312
505 0 $a 1.1 Problem statement -- 1.2 Research method -- 1.2.1 Research goals and research questions -- 1.2.2 Engineering, design and empirical cycles -- 1.3 Means to achieve the main research goal -- 1.4 The TraceME method in a nutshell -- 1.5 Outline of the book -- 2.1 Traceability in conceptual model evolution -- 2.2 Measuring conceptual models evolution -- 2.3 Model-driven organisational reengineering frameworks -- 2.4 Goal-driven requirements engineering -- 2.5 Evolution requirements and information system co-evolution -- 2.6 TraceME and related MDD solutions -- 2.7 Summary -- 3.1 The basics -- 3.2 A theoretical framework for model-driven development -- 3.3 A theoretical framework for organisational reengineering -- 3.4 Summary -- 4.1 Introduction -- 4.2 Background and running example -- 4.2.1 The i* framework in a nutshell -- 4.2.2 The Communication Analysis method in a nutshell -- 4.3 The GoBIS framework -- 4.3.1 Research Method -- 4.3.2 Modelling language integration -- 4.3.3 Ontological mapping between i* and CA -- 4.3.4 Metamodel integration: the GoBIS metamodel -- 4.4 iStar2ca guidelines: top-down scenario guidelines -- 4.5 evolCA procedure: evolution scenario procedure -- 4.6 ca2oom integration framework. -4.7 Delta analysis -- 4.7.1 Delta models specification -- 4.7.2 Delta models measurement -- 4.7.3 Delta models and metrics interpretation report -- 4.7.4 Delta analysis metamodel -- 4.8 Summary -- 5.1 Motivation -- 5.2 TraceME method: the construction -- 5.3 A method engineering effort to construct TraceME -- 5.4 The TraceME Method -- 5.4.1 Introduction -- 5.4.2 Perspective -- 5.4.3 Framework -- 5.4.4 Cooperation principles -- 5.5 Method chunk iStar2ca guidelines -- 5.5.1 Concepts -- 5.5.2 Procedure -- 5.5.3 Notation -- 5.6 Method chunk ca2oom integration framework -- 5.6.1 Concepts -- 5.6.2 Procedure -- 5.6.3 Notation -- 5.7 Method chunk evolCA procedure -- 5.7.1 Concepts -- 5.7.2 Procedure -- 5.7.3 Notation -- 5.8 Method chunk Delta Analysis -- 5.8.1 Concepts -- 5.8.2 Procedure -- 5.8.3 Notation -- 5.9 Situational-oriented assembling of the TraceME chunks -- 5.10 Summary -- 6.1 Introduction. -6.2 Validation of the iStar2ca guidelines – a laboratory demonstration and comparative experiment -- 6.2.1 Laboratory demonstration -- 6.2.2 Comparative experiment -- 6.3 Validation of the Delta Analysis technique: Action research experience in everis Spain -- 6.3.1 Design of the action research in everis -- 6.3.2 Discussion -- 6.4 Validation of the ca2oom integration framework: an experiment for sensitive analysis -- 6.4.1 Experimental design -- 6.4.2 Experimental procedure -- 6.4.3 Conclusions and lessons learnt -- 6.5 Validation of the evolCA procedure: A feasibility analysis -- 6.5.1 Design and procedure -- 6.5.2 Conclusions and lessons learnt -- 6.6 Summary -- 7.1 Introduction -- 7.2 The GREAT Process Modeller -- 7.3 Plug-in for the GoBIS framework -- 7.4 Plug-in the Delta Analysis technique -- 7.5 Summary -- 8.1 Wrap up: main contributions -- 8.2 Open challenges.
520 $a This book presents TraceME, a traceability-based method for conceptual model evolution whose general purpose is to support the evolution of information systems. By providing a set of four TraceME chunks, TraceME is situational-oriented. In this way, it can be adapted to support different evolution projects by just assembling the TraceME chunks. To facilitate its industrial adoption, open source tools were developed and described which support the implementation of the TraceME chunks. The work presented highlights various research endeavors for the development of methods and techniques to automate the evolution of software systems. It explores the requirements engineering field as a steppingstone to a successful software development processes. In 2017, the underlying PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering.
650 0 $a Software engineering. $3 562952
650 0 $a Application software. $3 528147
650 1 4 $a Software Engineering. $3 669632
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 669633
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319897158
776 0 8 $i Printed edition: $z 9783319897172
830 0 $a Lecture Notes in Business Information Processing, $x 1865-1348 ; $v 206 $3 1253615
856 4 0 $u https://doi.org/10.1007/978-3-319-89716-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNB
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)