TY  - JOUR
A1  - Hirschfeld, Robert
A1  - Perscheid, Michael
A1  - Haupt, Michael
T1  - Explicit use-case representation in object-oriented programming languages
JF  - ACM SIGPLAN notices
N2  - Use-cases are considered an integral part of most contemporary development processes since they describe a software system's expected behavior from the perspective of its prospective users. However, the presence of and traceability to use-cases is increasingly lost in later more code-centric development activities. Use-cases, being well-encapsulated at the level of requirements descriptions, eventually lead to crosscutting concerns in system design and source code. Tracing which parts of the system contribute to which use-cases is therefore hard and so limits understandability.
 In this paper, we propose an approach to making use-cases first-class entities in both the programming language and the runtime environment. Having use-cases present in the code and the running system will allow developers, maintainers, and operators to easily associate their units of work with what matters to the users. We suggest the combination of use-cases, acceptance tests, and dynamic analysis to automatically associate source code with use-cases. We present UseCasePy, an implementation of our approach to use-case-centered development in Python, and its application to the Django Web framework.
KW  - design
KW  - languages
KW  - use-cases
KW  - separation of concerns
KW  - traceability
Y1  - 2012
U6  - https://doi.org/10.1145/2168696.2047856
SN  - 0362-1340
VL  - 47
IS  - 2
SP  - 51
EP  - 60
PB  - Association for Computing Machinery
CY  - New York
ER  - 
TY  - JOUR
A1  - Baroni, Gabriele
A1  - Francke, Till
T1  - An effective strategy for combining variance- and distribution-based global sensitivity analysis
JF  - Environmental modelling & software with environment data news
N2  - We present a new strategy for performing global sensitivity analysis capable to estimate main and interaction effects from a generic sampling design. The new strategy is based on a meaningful combination of varianceand distribution-based approaches. The strategy is tested on four analytic functions and on a hydrological model. Results show that the analysis is consistent with the state-of-the-art Saltelli/Jansen formula but to better quantify the interaction effect between the input factors when the output distribution is skewed. Moreover, the estimation of the sensitivity indices is much more robust requiring a smaller number of simulations runs. Specific settings and alternative methods that can be integrated in the new strategy are also discussed. Overall, the strategy is considered as a new simple and effective tool for performing global sensitivity analysis that can be easily integrated in any environmental modelling framework.
KW  - global sensitivity analysis
KW  - variance
KW  - distribution
KW  - generic sampling
KW  - design
Y1  - 2020
U6  - https://doi.org/10.1016/j.envsoft.2020.104851
SN  - 1364-8152
SN  - 1873-6726
VL  - 134
PB  - Elsevier
CY  - Oxford
ER  -