1. No category

Modeling and Reasoning about
Information Quality Requirements
Mohamad Gharib and Paolo Giorgini
University of Trento - DISI,
38123, Povo, Trento, Italy
gharib, [email protected]
March 18, 2015
Mohamad Gharib and Paolo Giorgini
March 18, 2015
1 / 25
Outline
1
Introduction
2
Problem statement
3
Case Study
4
Multi-dimensional IQ model
5
Extending secure Tropos with IQ modeling concepts
6
The methodological process
7
Evaluation
8
Related Work
9
Conclusions and future work
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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Introduction
Motivation Information Quality (IQ) requirements has to be considered
since the early phases of software development.
Problem Most of the Requirements Engineering frameworks either
ignore or loosely define IQ requirements.
Principal ideas We propose a novel conceptual framework for modeling
and reasoning about IQ at requirements level.
Contribution The utility of our proposed framework have been
demonstrated by modeling and analyzing the IQ
requirements of a case study concerning a main U.S stock
market crash (the Flash Crash).
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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Problem statement
Quality has been defined as “fitness for use” [6], or the conformance
to specifications [14].
IQ is a hierarchical multi-dimensional concept that can be
characterized by several dimensions [9], and several models for
analyzing IQ based on diffrent dimensions have been propose
[20, 9, 13].
Traditionally, IQ has been considered as a technical problem focusing
mainly on how information are stored and transmitted by technical
components (both hardware and software).
Most of the existing IQ approaches and models do not satisfy the
needs of current complex systems (e.g., socio-technical systems [4]).
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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Case Study: a stock market system
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Actors: investors, traders, stock markets, consulting firms, etc.
Assets: orders, consulting suggestions, CB information, etc.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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Multi-dimensional IQ model
Our framework considers 4 IQ dimensions to analyze IQ, namely:
accuracy, completeness, timeliness, and consistency.
Accuracy: information should be true or error free with respect to some
known, designated or measured value [2].
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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Multi-dimensional IQ model
Our framework considers 4 IQ dimensions to analyze IQ, namely:
accuracy, completeness, timeliness, and consistency.
Accuracy: information should be true or error free with respect to some
known, designated or measured value [2].
Example
Fraud information (falsified) that have been used by some actors played a
role in the Flash Crash [7, 11].
HFTs’ flickering quotes that are orders last very short time, which
make them unavailable for most of traders [11]).
Market Makers’ stub quotes that are orders with prices far away from
the current market prices, such orders can also be considered as
falsified information; since they are orders were not intended to be
performed [7].
Mohamad Gharib and Paolo Giorgini
March 18, 2015
6 / 25
Multi-dimensional IQ model
Our framework consider 4 IQ dimensions to analyze IQ, namely: accuracy,
completeness, timeliness, and consistency.
Accuracy: information should be true or error free with respect to some
known, designated or measured value [2].
Completeness: all parts of information should be available [2, 18].
Example
The highly fragmented nature of the finical market along with the
inefficient coordination mechanisms among the CBs of the trading markets
also played a role in the Flash Crash [5, 17].
If trading markets fail to coordinate their CBs, HFTs will simply
search for a market other than the closed ones and continue trading
[10]. For instance, during the Flash Crash CME employs its CB but
NYSE did not [17].
Mohamad Gharib and Paolo Giorgini
March 18, 2015
7 / 25
Multi-dimensional IQ model
Our framework consider 4 IQ dimensions to analyze IQ, namely: accuracy,
completeness, timeliness, and consistency.
Accuracy: information should be true or error free with respect to some
known, designated or measured value [2].
Completeness: all parts of information should be available [2, 18].
Timeliness: to which extent information is valid in terms of time [13].
Example
Nanex report [1] listed both NYSE-CQSa related information delay along
with the DOW Jones delay (was a result of the first delay) as a reason of
the Flash Crash.
a
Consolidated Quotation System (CQS) information concerns quotation,
where a quote is an order that has not been performed
Mohamad Gharib and Paolo Giorgini
March 18, 2015
8 / 25
Multi-dimensional IQ model
Our framework consider 4 IQ dimensions to analyze IQ, namely: accuracy,
completeness, timeliness, and consistency.
Accuracy: information should be true or error free with respect to some
known, designated or measured value [2].
Completeness: all parts of information should be available [2, 18].
Timeliness: to which extent information is valid in terms of time [13].
Consistency: means that multiple recordings of the same information
should be the same across time and space [2].
Example
To ensure efficient coordination among the CBs of the trading markets, we
need to guarantee that these markets depend on consistent information for
employing their CBs. According to [8], provision time from CME to
Nasdaq was 13 (ms), while provision time from CME to NYSE was 14.65
(ms), which leads to inconsistent information between these two markets.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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Extending secure Tropos with IQ modeling concepts
Make profit by
facilitate trading
among traders
Stock
market
and
Manage order matching
among traders
Ensure fair and stable
trading environment
and
Receive orders
from traders
Trading
orders
and
Manage orders
matching
Analyze the
trading
environment
Manage
trading
environment
and
Perform
Perform
after trade
trades
operations
Accepted
orders
CB info
Trade
info
(a) secure Tropos
Our modeling language extends the secure Tropos modeling languages:
Goal-information relations: produces, optional/ required read, and sends.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
10 / 25
Extending secure Tropos with IQ modeling concepts
Stock
market
Make profit by
facilitate trading
among traders
and
and
Analyze the
trading
environment
and
Perform
Perform
after trade
trades
operations
]
R
R[S
Accepted
Trade
orders
info
Trading
orders
CB info
Trade
info
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ƌĞĂĚ
(a) secure Tropos
ƌĞƋƵŝƌĞĚ
ƌĞĂĚ
P
Manage orders
matching
Manage
trading
environment
P
Accepted
orders
and
Analyze the
trading
environment
Receive orders
from traders
P
and
Perform
Perform
after trade
trades
operations
and
Manage
trading
environment
R [O]
Trading
orders
and
Manage orders
matching
R]
and
Receive orders
from traders
Ensure fair and stable
trading environment
Manage order matching
among traders
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Ensure fair and stable
trading environment
R [R]
Manage order matching
among traders
Stock
market
Make profit by
facilitate trading
among traders
CB info
ƐĞŶĚ
(b) extended secure Tropos
Our modeling language extends the secure Tropos modeling languages:
Goal-information relations: produces, optional/ required read, and sends.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
11 / 25
Extending secure Tropos with IQ modeling concepts
CME CB
info
T
Make profit by
facilitate trading
among traders
and
CME
R]
R[
S
Trade
info
NASDA
Q
CME CB
info
T
TP
Make profit by
facilitate trading
among traders
NYSE
and
[Time]
Manage trading
environment
Perform after
trade operations
T
TP
T
[Time]
CME
CB info
Manage trading
environment
R[
R]
NYSE Part of CME
CB info
CB info
Our modeling language extends the secure Tropos modeling languages:
Information accuracy: we provide trusted/distrusted production, and
trusted/distrusted provision concepts.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
12 / 25
Extending secure Tropos with IQ modeling concepts
CME CB
info
T
Make profit by
facilitate trading
among traders
and
CME
CME CB
info
T
TP
R]
R[
S
NASDA
Q
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ƉƌŽĚƵĐƚŝŽŶ
NYSE
Make profit by
facilitate trading
among traders
and
[Time]
Manage trading
environment
Perform after
trade operations
Trade
info
T
TP
T
[Time]
CME
CB info
Manage trading
environment
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ƉƌŽǀŝƐŝŽŶ
R[
R]
NYSE Part of CME
CB info
CB info
Our modeling language extends the secure Tropos modeling languages:
Information accuracy: we provide trusted/distrusted production, and
trusted/distrusted provision concepts.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
13 / 25
Extending secure Tropos with IQ modeling concepts
CME CB
info
T
Make profit by
facilitate trading
among traders
and
CME
CME CB
info
T
TP
S
NASDA
Q
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NYSE
Make profit by
facilitate trading
among traders
and
[Time]
Manage trading
environment
Perform after
trade operations
R
Trade
info
T
TP
T
[Time]
]
[R
CME
CB info
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Manage trading
environment
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R[
R]
NYSE Part of CME
CB info
CB info
Our modeling language extends the secure Tropos modeling languages:
Information completeness: we provide the part of concept that enables for
addressing information completeness.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
14 / 25
Extending secure Tropos with IQ modeling concepts
ƉƌŽǀŝƐŝŽŶ
ƚŝŵĞ
CME CB
info
T
Make profit by
facilitate trading
among traders
and
Perform after
trade operations
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S
CME
NASDA
Q
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info
T
TP
NYSE
Make profit by
facilitate trading
among traders
and
[Time]
Manage trading
environment
R
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info
T
TP
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]
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CME
CB info
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Manage trading
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R[
R]
NYSE Part of CME
CB info
CB info
Our modeling language extends the secure Tropos modeling languages:
Information timeliness: we provide information volatility, read timeliness,
send timeliness, and information provision time concepts.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
15 / 25
Extending secure Tropos with IQ modeling concepts
ƉƌŽǀŝƐŝŽŶ
ƚŝŵĞ
CME CB
info
T
Make profit by
facilitate trading
among traders
and
Perform after
trade operations
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ƚŝŵĞ
S
CME
CME CB
info
[Time]
Manage trading
environment
R[
Trade
info
T
TP
CME
CB info
T
NASDA
Q
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ƉƌŽĚƵĐƚŝŽŶ
NYSE
Make profit by
facilitate trading
among traders
[Time]
T
TP
and
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ƌĞĂĚĞƌƐ
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Manage trading
ŽĨ
environment
R]
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R[
R]
NYSE Part of CME
CB info
CB info
ƌĞĂĚͲƚŝŵĞ
Our modeling language extends the secure Tropos modeling languages:
Information consistency: we provide read-time and interdependent readers
concepts.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
16 / 25
The methodological process
4- Social interactions
modeling
1- Actor
modeling
2- Goal
modeling
3- Information
modeling
5- Trust
modeling
6-Analyzing
IQ model
7- Refining
IQ model
Our Framework is supported with an engineering methodology that is used
for the systematic design of the system-to-be.
Modeling phase: aims to model IQ requirements of the system-to-be in
their social and organizational context.
Analysis phase: aims to analyze the IQ requirements model against the
properties of the design.
Refinement phase if some IQ requirements did not hold, the analysis tries
to find proper solution for them at this phase.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
17 / 25
Evaluation using the Flash Crash Scenario
We have demonstrated the utility of our proposed framework by modeling
and analyzing IQ requirements of case study concerning a main U.S stock
market crash (the Flash Crash).
Applicability and effectiveness : we developed a prototype implementation
of our framework1 to test its applicability and effectiveness
for modeling and reasoning about IQ requirements.
Scalability of the reasoning technique: we investigate the reasoning
execution time against the requirements model size, by
increasing the number of its modeling elements from 188 to
1316 through 7 steps, and calculate the reasoning execution
time at each step. The result shows that the relation between
the size of the model and execution time is not exponential.
1
http://mohamadgharib.wordpress.com/
Mohamad Gharib and Paolo Giorgini
March 18, 2015
18 / 25
Related Work
Improving IQ by design Wand and Wang [18], Total Data Quality
Management (TDQM) methodology [19], IP-MAP [16],
IP-UML [15]. However, all the previously mentioned
approaches were not designed to capture neither the
organizational nor the social aspects of the system-to-be,
which are very important aspects in current complex systems.
Requirements Engineering RE community did not appropriately support
modeling nor analyzing IQ related issues (e.g., KAOS [3], i*
[21], secure Tropos [12], etc.). Usually, they care about
information in terms of its availability and who is responsible
of providing it.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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Conclusions and future work
Contribution: We proposed a framework that enables system designers for
modeling and reasoning about IQ requirements from the early system
design taking into consideration the intended purpose of information usage.
Future work:
We intend to extend the IQ dimensions we considered, and investigate
the interrelations among IQ dimensions.
Refine some IQ related concepts.
Information production process needs more investigation.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
20 / 25
References I
Nanex flash crash summary report.
http://www.nanex.net/FlashCrashFinal/FlashCrashSummary.html, 2010.
Accessed: 2014-05-30.
Bovee, M., Srivastava, R. P., and Mak, B.
A conceptual framework and belief-function approach to assessing overall information
quality.
International journal of intelligent systems 18, 1 (2003), 51–74.
Dardenne, A., Van Lamsweerde, A., and Fickas, S.
Goal-directed requirements acquisition.
Science of computer programming 20, 1-2 (1993), 3–50.
Emery, F., and Trist, E.
Socio-technical systems. management sciences, models and techniques. churchman cw et
al, 1960.
Gomber, P., Haferkorn, M., Lutat, M., and Zimmermann, K.
The effect of single-stock circuit breakers on the quality of fragmented markets.
In FinanceCom (2012), pp. 71–87.
Juran, J., Gryna, F., and Bingham, R.
Quality control handbook.
New York [etc.]: McGraw-Hill, 1979.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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References II
Kirilenko, A., Kyle, A. S., Samadi, M., and Tuzun, T.
The flash crash: The impact of high frequency trading on an electronic market.
Manuscript, U of Maryland (2011).
Lewis, M.
Flash boys: a Wall Street revolt.
WW Norton & Company, 2014.
Liu, L., and Chi, L.
Evolutional data quality: A theory-specific view.
In IQ (2002), pp. 292–304.
Madhavan, A.
Exchange-traded funds, market structure and the flash crash.
SSRN Electronic Journal (2011), 1–33.
McInish, T., and Upson, J.
Strategic liquidity supply in a market with fast and slow traders.
Available at SSRN 1924991 (2012).
Mouratidis, H., and Giorgini, P.
Secure tropos: A security-oriented extension of the tropos methodology.
International Journal of Software Engineering and Knowledge Engineering 17, 2 (2007),
285–309.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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References III
Pipino, L. L., Lee, Y. W., and Wang, R. Y.
Data quality assessment.
Communications of the ACM 45, 4 (2002), 211–218.
Reeves, C. A., and Bednar, D. A.
Defining quality: alternatives and implications.
Academy of management Review 19, 3 (1994), 419–445.
Scannapieco, M., Pernici, B., and Pierce, E.
Ip-uml: Towards a methodology for quality improvement based on the ip-map framework.
In 7th Intl Conf. on Information Quality (ICIQ-02) (2002), pp. 8–10.
Shankaranarayanan, G., Wang, R., and Ziad, M.
Ip-map: Representing the manufacture of an information product.
In Proceedings of the 2000 Conference on Information Quality (2000), pp. 1–16.
Subrahmanyam, A.
Algorithmic trading, the flash crash, and coordinated circuit breakers.
Borsa Istanbul Review 13, 3 (2013), 4–9.
Wand, Y., and Wang, R.
Anchoring data quality dimensions in ontological foundations.
Communications of the ACM 39, 11 (1996), 86–95.
Mohamad Gharib and Paolo Giorgini
March 18, 2015
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References IV
Wang, R.
A product perspective on total data quality management.
Communications of the ACM 41, 2 (1998), 58–65.
Wang, R., and Strong, D.
Beyond accuracy: What data quality means to data consumers.
Journal of management information systems (1996), 5–33.
Yu, E. S.-K.
Modelling strategic relationships for process reengineering.
PhD thesis, University of Toronto, 1995.
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March 18, 2015
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Question
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March 18, 2015
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