**1. Introduction**

Although social workers provide diverse assistance, the incidence of suicide is still high in Taiwan [20]. However, due to cultural characteristics, people who own suicidal ideation of‐ ten reluctant to seek help as well as passively wait for help. The social networking (SN) be‐ comes one of the social tools. Some users utilize it to interact with their friends and express their mood or feelings in the SN.

Several real suicide cases are rescued by notifying from the messages of the SN [1] [2] , how‐ ever, the evidence is not enough for endorsing amount of the budgets to emerge the suicide prevention (SP) process to the SN. Therefore, it is a problem for decision-makers to decide which user groups are the targets for the SP in the SN, what kind of the messages are keys for the SP and have to be extracted from the SN [10] , when is the best time to emerge the SP process to the SN, which region is the best place for trial, and which SN is the best adopting platform? The decision-making is not only medical-oriented, but also technology-oriented.

This chapter illustrates an explicit decision support process for management of software re‐ quirements elicitation and analysis. As Shi, *et al.* [15] illustrates their research outcomes by utilizing the Unified Modeling Language (UML) as the basis of their decision support sys‐ tem to help decision-makers to distinguish regional environmental risk zones. Similarly, Sutcliffe, *et al.* [19] tries to visualize the requirements by user-centred design (UCD) methods in their visual decision support tools to support public health professionals in their analysis activities. Our proposed process, Extensible Requirements Elicitation and Analysis Process

© 2012 Cheng et al.; licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © 2012 Cheng et al.; licensee InTech. This is a paper distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

(XREAP) [5] , is revised from part of the use case driven approach [7] [9]. Therefore, it is nec‐ essary for an analyst to understand the UML [8] visualization knowledge.

These countries, for example, at least include Lithuania (31. 5), South Korea (31. 0), Japan (24. 4), Russia (23. 5), Finland (18. 3), Belgium (17. 6), France (17. 0), Sweden (15. 8), South Africa (15. 4), and Hong Kong (15. 2) [20]. Therefore, the suicide behaviour is one of the im‐

Whether Moving Suicide Prevention Toward Social Networking: A Decision Support Process with XREAP Tool

http://dx.doi.org/10. 5772/51985

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Based on the above, it is necessary to reduce the suicidal ideation in order to decrease the occurrence of suicide. Shneidman, *et al.* [16] proposed a three-level prevention model to do exactly that. The model is divided into three program response categories: prevention, inter‐ vention and postvention. Within this three-level prevention model, prevention is to increase the protection factor and decrease the risk factor. The research team tries to focus on the sec‐ ond level of the three-level prevention model and analyses, whether moving SP to SN can

The mission of the Taiwan Suicide Prevention Centre (TSPC) is tried to decrease the suicide rate. However, it was found that adolescents and young adults, for example, aged 15 to 24, are difficult for the TSPC to intervene to help them from the viewpoint of the TSPC manag‐ ers. Therefore, the TSPC's chairman called for a brainstorm meeting to invite a group of en‐ thusiastic scholars and participants to find some feasible solutions to reduce the suicide rate of Taiwanese adolescents and young adults in 2010 [6]. Although there are several alterna‐ tive solutions for the TSPC to promote the suicide prevention capacity, it is hard for the TSPC to decide which solution is the best one and worthwhile to invest substantial resour‐ ces. Note that these alternatives are belonging to the preliminary decision, not final decision,

It is worth mentioning that the social networking, such as the Facebook, is one of the alter‐ natives in the TSPC meeting. Anyhow, the social-networking service includes diverse online social platforms such as the Facebook, the Twitter, and the Google+. Hence it is necessary for us to be carefully considerate whether moving suicide prevention toward social net‐ working, to propose our analysis outcomes, and to assist the TSPC chairman to make a final

This study utilizes a requirements elicitation and analysis process, the XREAP [5] , to ex‐ plore whether moving the SP to the SN is feasible. Because the XREAP is an exhausted ap‐ proach to elicit the requirements from the execution domain, the outcomes of the XREAP tool will illustrate the overview of the required requirements. Therefore, the implicit needs will be extracted from the XREAP process, and the decision-makers will own most options

Furthermore, the XREAP tool is a requirements engineering utility that is based on the XREAP concept and is designed by Java programming language [5]. It is suitable for soft‐ ware-development process and acts as a role for eliciting and analysing the software re‐ quirements from users as well as generates a series of use case diagrams for further design

elicit the high-risk group so that early detection can lead to early treatment.

plicit social problems for many countries.

**3. Decision support process**

in the TSPC meeting.

and situations for further decision-making.

decision.

On the other hand, Perini and Susi extend their decision support system research to the en‐ vironmental modelling and software field [11]. Their research approach is to hold interviews of producers, technicians anddomain experts as well as acquisition of domain documenta‐ tion. Meanwhile, they also try to analyse actor roles and strategic dependencies among ac‐ tors, goal-analysis and plan-analysis. Furthermore, Schlobinski, *et al*. [13] illustrates the user requirements that are derived from a UCD process to engage diverse user representatives for four cities in Europe.

Based on the knowledge sharing concept, Shafiei [14] and his team members develop a mul‐ ti-enterprise collaborative decision support system for supply-chain management and show their idea is feasible. This evidence shows that the collaborative knowledge sharing is a pos‐ sible route to promote the quality of the decision-making. Further, Cercone and his partners predict that their e-Health decision support system can find and verify evidence from multi‐ ple sources, lead to cost-effective use of drugs, improve patients' quality of life, and opti‐ mize drug-related health outcomes [3]. That is, a series of the knowledge and evidence can be collected, shared and reused further for related fields as well as promote our health life to next higher e-Health generation.

Our proposed process includes functions to elicit the diverse requirements from users by utilizing the XREAP tool, analyses all requirements on-line, transforms the final require‐ ments into use case diagram, and provides on-demand complexity metric. Essentially, the process can elicit sufficient sources for user requirements and provide enough complexity information for decision makers. In conclusion, we can straightforwardly understand the complexity between the diverse user requirements and even make an appropriate decision, whether it is the right time to move one of the specific SP activities toward one of the SN's with our proposed process.
