List of topics
Area C (Metrics Collection)
-
Automatic support for sharing
research hypotheses, data and results
-
Standards for the collection,
comparison and validation of metrics
-
Embedding metrics in CASE and
application development tools
-
Evaluation of metrics
collection tools
-
Automating collection from
formal metrics definition
-
Metrics collection in the
development process (measurement planning)
-
Public repositories for
measurement data
-
Metrics visualization (*)
-
Metrics for component-based
systems (*)
-
Metrics for web-based systems
(*)
Area A (Quality Assessment)
-
Measuring non-functional
requirements of OO systems
-
Quantitative OO and CB design
heuristics
·
Metric-based design refactoring
-
OOD and CBD quality
characteristics assessment
-
Quantitative impact analysis
in OO and CB architectures
-
Quantitative assessment of OO
analysis/design patterns and frameworks
-
Quantitative assessment of
behavioral modeling in OO models
-
Quantitative assessment of OR
and OO database/datawarehouse schemata
-
Measurement and quality
assessment of components (*)
-
Measurement and quality
assessment of agent-based systems(*)
-
Agent-based Web service
architecture as a means of providing QoS(*)
-
Quality of Service models(*)
-
Instrumentation of Web
services for QoS (*)
Area V (Metrics Validation)
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Meta-level metrics
-
Formal and empirical
validation of metrics
-
Metrics and Measurement Theory
-
Validation techniques and
their limits
-
Standard data sets for metrics
validation
-
Limitations of quality
estimation techniques
Area P (Process Management)
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Reliability and rework effort
estimates based on design measures
-
Reuse evaluation
·
Resource estimation models for OO and CB software development
-
Quantitative tracking of OO,
web services, and CBS development activities
-
Empirical studies on the use
of measures for process management
-
Measurement support in a CBD
life cycle
We explicitly solicit position
papers related to topics marked with an asterisk (*) as well as papers that
document and/or motivate the use of quantitative methods in industrial
software processes. These topics were identified as important open research
issues in QAOOSE’2003 workshop.
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