An approach to tracking data derivation in information systems

Jianhua Shao; Yahya Ibrahim; Suzanne M. Embury

doi:10.1109/CIT.2005.63

An approach to tracking data derivation in information systems

Jianhua Shao, Yahya Ibrahim, Suzanne M. Embury

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

Modern enterprises are becoming increasingly dependent upon the data produced from information systems to support their operations. So the knowledge of how such data are derived is vitally important to them. Unfortunately, as the systems evolve, their functionality tends to become more complex and associated documentation less reliable. Consequently, accurate knowledge of data derivation cannot always be assumed. In this paper, we propose an approach to tracking this valuable knowledge automatically by analysing the information systems themselves. Our approach is centred around two key technologies: symbolic execution for abstracting data derivation and query inversion for determining data sources, and allows the user to track data derivation as and when it is needed. © 2005 IEEE.

Original language	English
Title of host publication	Proceedings - Fifth International Conference on Computer and Information Technology, CIT 2005\|Proc. Fifth Int. Conf. Comput. Info. Technol.
Publisher	IEEE Computer Society
Pages	65-69
Number of pages	4
Volume	2005
DOIs	https://doi.org/10.1109/CIT.2005.63
Publication status	Published - 2005
Event	Fifth International Conference on Computer and Information Technology, CIT 2005 - Shanghai Duration: 1 Jul 2005 → … http://dblp.uni-trier.de/db/conf/IEEEcit/IEEEcit2005.html#ShaoIE05http://dblp.uni-trier.de/rec/bibtex/conf/IEEEcit/ShaoIE05.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/IEEEcit/ShaoIE05

Conference

Conference	Fifth International Conference on Computer and Information Technology, CIT 2005
City	Shanghai
Period	1/07/05 → …
Internet address	http://dblp.uni-trier.de/db/conf/IEEEcit/IEEEcit2005.html#ShaoIE05http://dblp.uni-trier.de/rec/bibtex/conf/IEEEcit/ShaoIE05.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/IEEEcit/ShaoIE05

Access to Document

10.1109/CIT.2005.63

Cite this

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title = "An approach to tracking data derivation in information systems",

abstract = "Modern enterprises are becoming increasingly dependent upon the data produced from information systems to support their operations. So the knowledge of how such data are derived is vitally important to them. Unfortunately, as the systems evolve, their functionality tends to become more complex and associated documentation less reliable. Consequently, accurate knowledge of data derivation cannot always be assumed. In this paper, we propose an approach to tracking this valuable knowledge automatically by analysing the information systems themselves. Our approach is centred around two key technologies: symbolic execution for abstracting data derivation and query inversion for determining data sources, and allows the user to track data derivation as and when it is needed. {\textcopyright} 2005 IEEE.",

author = "Jianhua Shao and Yahya Ibrahim and Embury, {Suzanne M.}",

year = "2005",

doi = "10.1109/CIT.2005.63",

language = "English",

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booktitle = "Proceedings - Fifth International Conference on Computer and Information Technology, CIT 2005|Proc. Fifth Int. Conf. Comput. Info. Technol.",

publisher = "IEEE Computer Society ",

address = "United States",

note = "Fifth International Conference on Computer and Information Technology, CIT 2005 ; Conference date: 01-07-2005",

url = "http://dblp.uni-trier.de/db/conf/IEEEcit/IEEEcit2005.html#ShaoIE05http://dblp.uni-trier.de/rec/bibtex/conf/IEEEcit/ShaoIE05.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/IEEEcit/ShaoIE05",

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Shao, J, Ibrahim, Y & Embury, SM 2005, An approach to tracking data derivation in information systems. in Proceedings - Fifth International Conference on Computer and Information Technology, CIT 2005|Proc. Fifth Int. Conf. Comput. Info. Technol.. vol. 2005, IEEE Computer Society , pp. 65-69, Fifth International Conference on Computer and Information Technology, CIT 2005, Shanghai, 1/07/05. https://doi.org/10.1109/CIT.2005.63

An approach to tracking data derivation in information systems. / Shao, Jianhua; Ibrahim, Yahya; Embury, Suzanne M.
Proceedings - Fifth International Conference on Computer and Information Technology, CIT 2005|Proc. Fifth Int. Conf. Comput. Info. Technol.. Vol. 2005 IEEE Computer Society , 2005. p. 65-69.

Research output: Chapter in Book/Conference proceeding › Conference contribution

TY - GEN

T1 - An approach to tracking data derivation in information systems

AU - Shao, Jianhua

AU - Ibrahim, Yahya

AU - Embury, Suzanne M.

PY - 2005

Y1 - 2005

N2 - Modern enterprises are becoming increasingly dependent upon the data produced from information systems to support their operations. So the knowledge of how such data are derived is vitally important to them. Unfortunately, as the systems evolve, their functionality tends to become more complex and associated documentation less reliable. Consequently, accurate knowledge of data derivation cannot always be assumed. In this paper, we propose an approach to tracking this valuable knowledge automatically by analysing the information systems themselves. Our approach is centred around two key technologies: symbolic execution for abstracting data derivation and query inversion for determining data sources, and allows the user to track data derivation as and when it is needed. © 2005 IEEE.

AB - Modern enterprises are becoming increasingly dependent upon the data produced from information systems to support their operations. So the knowledge of how such data are derived is vitally important to them. Unfortunately, as the systems evolve, their functionality tends to become more complex and associated documentation less reliable. Consequently, accurate knowledge of data derivation cannot always be assumed. In this paper, we propose an approach to tracking this valuable knowledge automatically by analysing the information systems themselves. Our approach is centred around two key technologies: symbolic execution for abstracting data derivation and query inversion for determining data sources, and allows the user to track data derivation as and when it is needed. © 2005 IEEE.

U2 - 10.1109/CIT.2005.63

DO - 10.1109/CIT.2005.63

M3 - Conference contribution

VL - 2005

SP - 65

EP - 69

BT - Proceedings - Fifth International Conference on Computer and Information Technology, CIT 2005|Proc. Fifth Int. Conf. Comput. Info. Technol.

PB - IEEE Computer Society

T2 - Fifth International Conference on Computer and Information Technology, CIT 2005

Y2 - 1 July 2005

ER -

An approach to tracking data derivation in information systems

Abstract

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