A tactic-centric approach for automating traceability of quality concerns

@article{Mirakhorli2012ATA,
  title={A tactic-centric approach for automating traceability of quality concerns},
  author={Mehdi Mirakhorli and Yonghee Shin and Jane Cleland-Huang and Murat Çinar},
  journal={2012 34th International Conference on Software Engineering (ICSE)},
  year={2012},
  pages={639-649}
}
The software architectures of business, mission, or safety critical systems must be carefully designed to balance an exacting set of quality concerns describing characteristics such as security, reliability, and performance. Unfortunately, software architectures tend to degrade over time as maintainers modify the system without understanding the underlying architectural decisions. Although this problem can be mitigated by manually tracing architectural decisions into the code, the cost and… 
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81 Citations
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81 Citations

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References

SHOWING 1-10 OF 36 REFERENCES
Using tactic traceability information models to reduce the risk of architectural degradation during system maintenance
TLDR
The use of tTIMs significantly reduces the effort needed to create and maintain traceability links, provides support for visualizing the rationale behind various architectural components, and delivers timely information to maintainers so that they can preserve critical architectural qualities while implementing modifications.
A pattern system for tracing architectural concerns
TLDR
The patterns described in this paper emerged from the experiences and observations of tracing architectural concerns in safety critical systems and present six trace creation patterns describing techniques and supporting structures for creating architecturally significant traceability links.
Determining the cost-quality trade-off for automated software traceability
TLDR
The cost-quality trade-off of automated trace generation with the Trace Analyzer approach is reported and its expected impact onto several applications that consume its trace information is discussed and simple techniques to predict and manipulate the cost-benefit trade-offs with threshold-based filtering are explored.
Tracing architectural concerns in high assurance systems: (NIER track)
TLDR
The approach, which is informed through an extensive investigation of architectural decisions made in real-world safety-critical and performance-critical applications, provides enhanced support for advanced software engineering tasks.
Recovering and using use-case-diagram-to-source-code traceability links
TLDR
The results demonstrate that modest programmer effort to create TLs together with automated program mining and analysis is a promising approach than can increase program understanding while reducing programmer burden.
Object-oriented design patterns recovery
A heterogeneous solution for improving the return on investment of requirements traceability
This work describes a best-of-breed approach to traceability, in which the return-on-investment of the requirements traceability effort is maximized through the strategic deployment of a…
A machine learning approach for tracing regulatory codes to product specific requirements
TLDR
This paper introduces and evaluates two machine-learning methods, designed to improve the quality of traces generated between regulatory codes and product level requirements, which were evaluated against security regulations from the USA government's Health Insurance Privacy and Portability Act.
Recovering Traceability Links between Code and Documentation
TLDR
A probabilistic and a vector space information retrieval model is applied in two case studies to trace C++ source code onto manual pages and Java code to functional requirements to recover traceability links between source code and free text documents.
Tool Support for Architectural Decisions
TLDR
An approach is outlined that systematically and semi-automatically documents architectural decisions and allows them to be effectively shared by the stakeholders and is demonstrated with an example demonstrating its usefulness with regards to some industrial use cases.
...
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