Knowledge transfer of software tool development for functional requirements analysis

2015 ◽  
Vol 24 (1) ◽  
pp. 131-143 ◽  
Author(s):  
Po-Hsun Cheng ◽  
Jih-Ming Fu ◽  
Li-Wei Chen
Author(s):  
Marvin C. McCallum ◽  
Jennifer Morgan ◽  
Joseph Y. Yasutake ◽  
Hachiro Isoda

This paper describes a recently completed project conducted to identify functional requirements and software features of a Procedure Software Tool (PST) to be used as an aid in the preparation of written maintenance procedures in nuclear power plants. Results discussed include an overview of functional requirements and software features that address problems in procedure use and the process of procedure development. An overview of the recommended PST development process is also provided, along with a summary of the estimated benefits of PST development. Finally, potential applications in the nuclear industry, as well as other industries, are discussed.


Author(s):  
YE WANG ◽  
XIAOHU YANG ◽  
XINYU WANG ◽  
ALEKSANDER J. KAVS

Satisfying quality requirements for service systems is quite crucial and challenging. However, there is a gap between quality requirements analysis and quality requirements design in service systems. In order to bridge this gap, we provide a systematic approach — ProQRASS — to model and analyze quality requirements of services based on business processes, which are frequently used to model services. ProQRASS consists of five steps: (1) constructing business process models; (2) associating quality requirements with functional requirements of services in business process models; (3) identifying potential conflicts and cooperation among quality requirements; (4) filtering out false conflicts and cooperation; (5) resolving conflicts among quality requirements. We illustrate ProQRASS through an equity trading service system. We also evaluate its capability through the comparison with other approaches and conduct a usability investigation involving industrial experts. The result shows that ProQRASS is effective and useful.


2009 ◽  
Author(s):  
ZhiGang Zhi ◽  
QiSheng Guo ◽  
QingJun Meng ◽  
GuangHui Li

Author(s):  
Juan C. Muñoz-Fernández ◽  
Gabriel Tamura ◽  
Raúl Mazo ◽  
Camille Salinesi

The analysis of self-adaptive systems (SAS) requirements involves addressing uncertainty from several sources. Despite advances in requirements for SAS, uncertainty remains an extremely difficult challenge. In this paper, we propose REFAS, a framework to model the requirements of self-adaptive software systems. Our aim with REFAS is to address and reduce uncertainty and to provide a language with sufficient power of expression to specify the different aspects of self-adaptive systems, relative to functional and non-functional requirements. The REFAS modeling language includes concepts closely related to these kind of requirements and their fulfillment, such as context variables, claims, and soft dependencies. Specifically, the paper´s contribution is twofold. First, REFAS supports different viewpoints and concerns related to requirements modeling, with key associations between them. Moreover, the modeler can define additional models and views by exploiting the REFAS meta-modeling capability, in order to capture additional aspects contributing to reduce uncertainty. Second, REFAS promotes in-depth analysis of all of the modeled concerns with aggregation and association capabilities, especially with context variables. Furthermore, we also define a process that enforces modeling requirements, considering different aspects of uncertainty. We demonstrate the applicability of REFAS by using the VariaMos software tool, which implements the REFAS meta-model, views, and process.


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