scholarly journals A Formal Knowledge Level Process Model of Requirements Engineering

Author(s):  
Daniela E. Herlea ◽  
Catholijn M. Jonker ◽  
Jan Treur ◽  
Niek J. E. Wijngaards
Author(s):  
DANIELA E. HERLEA ◽  
CATHOLIJN M. JONKER ◽  
JAN TREUR ◽  
NIEK J. E. WIJNGAARDS

In current literature few detailed process models for Requirements Engineering are presented: usually high-level activities are distinguished, without a more precise specification of each activity. In this paper the process of Requirements Engineering has been analyzed using knowledge-level modelling techniques, resulting in a well-specified compositional process model for the Requirements Engineering task. This process model is considered to be a generic process model: it can be refined (by instantiation or specialisation) into a process model for a specific kind of Requirements Engineering process.


Author(s):  
Badariah Solemon ◽  
Shamsul Sahibuddin ◽  
Abdul Azim Abd Ghani

Requirements Engineering (RE) is a key discipline in software development, and several standards and models are available to help assess and improve RE processes. However, different standards and models can also help achieve different improvement goals. Thus, organizations are challenged to select these standards and models to best suit their specific context and available resources. This chapter presents a review of selected RE-specific and generic process improvement models that are available in the public domain. The review aims to provide preliminary information that might be needed by organizations in selecting these models. The chapter begins with analyses of how RE maturity is addressed in the Capability Maturity Model Integration (CMMI) for Development. Then, it describes the principal characteristics of, and the assessment and improvement framework applied in four RE-specific process assessment and improvement models: the Requirements Engineering Good Practice Guide (REGPG), the Requirements Engineering Process Maturity(REPM), the Requirements Capability Maturity Model (R-CMM), and the Market-Driven Requirements Engineering Process Model (MDREPM). This chapter also examines the utility and lesson learned of these models.


2018 ◽  
Vol 7 (2.23) ◽  
pp. 510
Author(s):  
ShankarNayak Bhkukya ◽  
Dr Suresh Pabboju

Every process model used by software industry has different phases including requirement engineering. This is the crucial phase as it is preceded by other phases and provides valuable inputs to the design phase. Risk assessment made in this phase can help avoid wastage of time, effort, cost and budget overruns and even missed delivery deadlines. Traditionally risks are analyzed in terms of technical aspects like failures in the working system, unavailability of certain services, and fault intolerances to mention few. The identified risks are used to have countermeasures. However, it causes the life cycle of the system to be repeated right from the requirements engineering. On the contrary, risk analysis in the requirements engineering phase can prove fact that a stitch in time saves nine. Therefore early detection of risks in the system can help improve efficiency of software development process. Goal-oriented risk assessment has thus gained popularity as it is done in the requirements analysis phase. Stakeholder interests are considered to analyze risks and provide countermeasures to leverage quality of the system being developed. In this paper, a formal framework pertaining to Tropos goal modelling is enhanced with quantitative reasoning technique coupled with qualitative ones. Towards this end we used a conceptual framework with three layer such as asset layer, event layer and treatment layer. We used a case study project named Loan Origination Process (LOP) to evaluate the proposed framework. Our framework supports probability of satisfaction (SAT) and denial (DEN) values in addition to supporting qualitative values. The Goal-Reasoning tool is extended to have the proposed quantitative solution for risk analysis in requirements engineering. The tool performs risk analysis and produces different alternative solutions with weights that enable software engineers or domain experts to choose best solution in terms of cost and risk. The results revealed the performance improvement and utility when compared with an existing goal-driven risk assessment approach.  


2015 ◽  
Vol 2015 (1) ◽  
pp. 15175
Author(s):  
Tae-Youn Park ◽  
Jason D. Shaw ◽  
Jisung Park ◽  
Eun-Suk Lee

2017 ◽  
Vol 2017 (1) ◽  
pp. 13271
Author(s):  
Becky Paluch ◽  
Lisa H. Nishii ◽  
Jasmien Khattab ◽  
Meir Shemla

1992 ◽  
Vol 86 (3) ◽  
pp. 759-766 ◽  
Author(s):  
Richard D. Anderson ◽  
Margaret G. Hermann ◽  
Charles F. Hermann

How should we explain why a state sometimes adopts a foreign policy in one region that interferes with its concurrent policies elsewhere? In their article in the March 1989 issue of this Review, Stewart, Hermann and Hermann proposed a three-level process model of foreign policy to explain such Soviet behavior towards Egypt in 1973. The analysis has continuing interest because it interprets the puzzling behavior as a manifestation of general problems of information processing in making foreign policy choices. Richard Anderson suggests that a two-level model of domestic bargaining better accounts for the causal sequence in Soviet-Egyptian relations and is in general more parsimonious. Margaret and Charles Hermann defend their substantive analysis and argue in any case for the complementarity of process and bargaining approaches.


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