Derived Requirements Generation: The DRAS Methodology

2007 ◽  
Author(s):  
David Bar-On ◽  
Shmuel Tyszberowicz
Keyword(s):  
Requirements Generation

Learning from Simple Systems

2005 ◽  
pp. 1-22
Author(s):  
Lynne P. Cooper ◽  
Rebecca L. Nash ◽  
Tu-Anh T. Phan ◽  
Teresa R. Bailey
Keyword(s):  
Implementation Process ◽  
Cost Effective ◽  
Organizational Knowledge ◽  
Simple System ◽  
Multiple Stakeholders ◽  
Jet Propulsion ◽  
Cost Effective Approach ◽  
Simple Systems ◽  
Requirements Generation ◽  
Knowledge Validation

This chapter describes the development and operation of a knowledge system to support learning of organizational knowledge at the Jet Propulsion Laboratory (JPL). It describes in detail requirements generation, implementation, and rollout of the system and presents results from performance and usage data collected over 19 weeks of operation. Although the underlying technology was relatively straightforward, the development process had to address concerns from multiple stakeholders, support a broad user base, and incorporate a cost-effective approach to knowledge validation. These, in turn, impacted requirements, design, and maintenance of the system and how it was deployed within the organization. This case demonstrates that a relatively “simple” system can effectively support learning or organizational knowledge, while still presenting a variety of challenges during the implementation process.

The Lifecycle of a Knowledge Management System for Organizational Learning

2011 ◽  
pp. 371-389
Author(s):  
Lynne P. Cooper ◽  
Teresa Bailey ◽  
Rebecca Nash ◽  
Tu-Anh Phan
Keyword(s):  
Organizational Learning ◽  
System Performance ◽  
Research Laboratory ◽  
Organizational Knowledge ◽  
Generation Process ◽  
Related Information ◽  
Process Implementation ◽  
System Data ◽  
Requirements Generation ◽  
Learning Analysis

This chapter describes the development and operation of a knowledge system to support learning of organizational knowledge at the Jet Propulsion Laboratory (JPL), a US national research laboratory whose mission is planetary exploration and to do what no one has done before. JPL 101 is a Web-accessible database of general organizational knowledge captured in a series of quizzes. The heart of JPL 101 is the content that is encoded as questions and annotated answers with connections to related information and resources. This chapter describes the requirements generation process, implementation, and rollout of the JPL 101 system. Data collected over 19 weeks of operation were used to assess system performance with respect to design considerations, participation, effectiveness of communication mechanisms, and individual-based learning. Analysis of content three years after primary operations assessed the degree of knowledge obsolescence in the system. These results are discussed in the context of organizational learning research and implications for practice.

scholarly journals A comparison of hazard analysis methods capability for safety requirements generation

2021 ◽  
pp. 1748006X2110034
Author(s):  
Nanda Anugrah Zikrullah ◽  
Hyungju Kim ◽  
Meine JP van der Meulen ◽  
Gunleiv Skofteland ◽  
Mary Ann Lundteigen
Keyword(s):  
Process Analysis ◽  
Hazard Analysis ◽  
Functional Requirements ◽  
Critical System ◽  
Safety Requirements ◽  
Safety Critical System ◽  
Analysis Methods ◽  
Resilience Management ◽  
Requirements Generation ◽  
Software Intensive

A safety-critical system comprising several interacting and software-intensive systems must be carefully analyzed to detect whether new functional requirements are needed to ensure safety. This involves an analysis of the systemic properties of the system, which addresses the effect of the interaction between systems and system parts. The paper compares two hazard analysis methods, which are often considered well-suited for such software-intensive systems: the Functional Hazard Analysis (FHA) and Systems-Theoretic Process Analysis (STPA). The focus is on the selection and improvement of the best methods, based on the lesson learned from the comparison of FHA and STPA. The analyses cover the hazard analysis processes, systemic properties, and the criteria of requirements. The paper concludes that STPA is the better choice over FHA. Insights are obtained to align both STPA and FHA methods with the broader topic on risk management, that is, hazard analysis method improvement, cautionary thinking, uncertainty management, and resilience management.

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