Extraction of requirements from customer specifications has long been a tedious, time-consuming and error-prone manual effort. This is further compounded by the tendency for requirements to be vague and fuzzy things which are difficult to manage. Hypermedia-based, Al-assisted requirements acquisition provides a significant competitive edge over traditional, labor-intensive, error-prone methods. SIR/REX (Systems Information Resource/Requirements EXtractor) provides automation and support to the earliest phases of systems engineering by placing customer specifications into an easily navigated, enriched information resource, and by automatically and consistently extracting candidate requirements and issues from specifications while creating links to the original source documentation. Requirements become tangible objects which can be easily reviewed, adjudicated, and managed by a human being; thus improving productivity and quality in requirements capture. Afterward, when new specifications or new versions of...

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Systems engineering - The last engineering discipline to be automated

AI Assistance for Requirements Management

Systems Engineering and Project Management are converging Systems Engineers are assuming greater responsibilities for the complete project and Project Managers are requiring greater insight into the details of the project product and process A technique, supported by a computer aided tool, is needed to assist the project Systems Engineer in meeting new responsibilities and to give the Project Manager the insight required The technique proposed is meta-modeling A practical working tool for project management and systems engineering meta-modeling is presented using an extension of the tool RDD-100 A new engineering discipline to provide the skill mix and modeling expertise required for project meta-modeling is described This discipline, called project engineering, is a natural outgrowth of the convergence of systems engineering and project management

Meta-Modeling for Project Engineering

This paper explores some of the similarities of the approaches taken by attorneys to a complex litigation case and those taken by engineers to a complex system development problem. The system development life cycle used in systems engineering has a direct corollary in the process of developing a legal case. Furthermore, the identification of technical, management, and legal risks; mitigation of those risks; and allocation of responsibility for them are of common interest to attorneys and engineering managers. This paper explores how attorneys can best assist engineers in the development process and how engineers can begin to address the problems of the litigation process.



Selected topics concerned with the invention and patent process, the systems development life cycle, and the criminal justice system are also examined in this paper. These topics are evaluated to determine some of the ways the systems engineer and the attorney can improve the people, the process, and the tools used in these two professions. The thesis is that many of the problems to come in the 21st century can be solved by the collaboration of systems engineers and attorneys.

8.1.1 Systems Engineering and the Legal Profession – Revisited

The Rapid Post-Flight Analysis System was designed from an original concept premised on defining the organizational framework and transitioning toward a verticallhorizontal computer integrated environment that is poised for the future. The concept is a general project management approach that can be used to integrate many mulitdiscipline organizations by capturing the relationships defining group roles, analyses, requirements, data transmittals, and schedules. This mitigates the variant cost and schedule aspects associated with the process. The challenge of resolving the combined peoplelprocessltechnology optimization problem focused toward increased profitability drives the need for improving process management techniques. The goal of the post-flighi process is to minimize the amount ofchange from flight to flight through management of the key post-flight process technology -knowledge. Expert system technologies coupled with pattern recognition techniques offer the opportunity for eliminating and redesigning engineering processes such that the unifed system learning curve is reduced through optimal use of past data. knowledge from experts, and problem solving techniques. This paper presents an overview of this process management conceptual model.

Rapid Post-Flight Analysis System

This paper discuss the aspects of system engineering as model making, where models embody the decisions made over the different stages of the system's life cycle To be useful the models need to have essential properties in common with the problem they represent The two essential properties of systems are their behavior and structure

Systems engineering - The last engineering discipline to be automated

Citations

AI Assistance for Requirements Management

Meta-Modeling for Project Engineering

8.1.1 Systems Engineering and the Legal Profession – Revisited

Rapid Post-Flight Analysis System

6.1.1 System Engineering as Model Making

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