Experienced Systems Engineers Research Articles

Model Based Self‐Learning System Engineering Approach

AbstractSystem requirements engineering is relatively matured discipline with many trusted and dependable methods and techniques that fairly helps in identifying, analyzing, specifying, managing, verifying, and validating the system requirements. Yet the major challenge perceived in system engineering and development of software that is persisting over many years and pervasive across all domains is the requirements development, analysis, management, and validation. Still there are projects attributing to the defects in system requirements as the prime cause of its failure. Is a radical change to the current approach and techniques is essential or is it that we are not able to put the best practices designed into good use or both? Is there something else amiss that is not proportioned into these methods or tools and needs to be accounted into it? Several approaches attempt to increase the standardized portion by making it more objective and diminish the subjective substance. Towards this objective numerous tools and models were evolved over past several years aiming to standardize the requirements acquisition practice through various instruments like a questionnaire, design of use‐cases or models that consumes inputs from every stakeholder and use a standard template that brings in objectivity eliminating the ambiguity. These models are as intelligent as per the capabilities of the templates or the outlines created and matures per their exposure levels to the scenarios. They concentrates more on the methodology, patterns or blueprint to capture different characteristics and properties associated to the product in the requirements and the domain perspective is less deliberated. Domain viewpoint is of utmost importance to ensure the functioning of the product in the required environment and ambiance with required performance criteria that is suitable to the product. The “Domain Driven Design” is yet another approach to capture the requirements, develop and maintain it. A study of these three different approaches from the existing literature is done in this paper bringing out their prominent features, advantages and shortcomings. The proposed model delves deep into augment the domain facets of the products to ensure the definition of requirements are comprehensive and all‐inclusive to facilitate the flawless development and complete testing by reducing the ambiguity and enhancing the clarity. It also targets to produce all relevant artifacts like use cases, test scenarios, documentation etcetera. Collation and embedding of the precious and adept data from the experienced system engineers is one of the best features of the suggested model.

SE Journeyman Years – Learning Project Success by Doing

AbstractLarge‐scale projects require from engineers more than just being experts in their respective technical discipline. Engineers, and especially Systems Engineers, are required to have an understanding of the disciplines related to theirs and also to possess many personal attributes and skills that enable effective and efficient communication among the project members. However, most education programs for engineers and system engineers still focus mainly on the technical competence. The acquisition of the other required skills is not part of the structured education and therefore difficult to evaluate whether and to which extent an engineer has developed these. This paper discussed an approach to structure the practicing of engineers to become experienced Systems Engineers, and well suited for the needs of large‐scale projects and based on the principles of the craftsmen tradition of “Journeyman Years”.

Essential Model‐Based Systems Engineering — Applied and Practical

AbstractCombine the key concepts of MBSE with the essentials of their practical application. This tutorial is designed help you leverage model‐based techniques to better meet the engineering challenges of analyzing stakeholder needs and defining system solutions. The tutorial uses a practical top‐down system analysis and design example and exercise to explore the application of layered model‐based systems engineering (MBSE) to system definition challenges. It examines the range of views available to the systems engineer for understanding and communicating design choices and provides a practical introduction to constructing the model and generating each representation. As the analysis and design advances, the engineer will use a wide variety of views drawn from traditional and SysML representations to portray aspects of the model and gain understanding of stakeholder concerns and the design choices to be made. This tutorial works for both new and experienced systems engineers, capability analysts and others working on an integrated project team, and program/project/capability managers. While a basic understanding of the systems engineering process is assumed, the MBSE framework and approach provide the foundation for those not experienced in systems engineering. The detailed discussion of MBSE methodology and model representations including SysML and traditional SE products delivers value for all but the most experienced model‐based systems analysts and engineers. This is an MBSE methods, models, and representations tutorial, not a tool tutorial. The focus is on the practical application of essential MBSE for project success. The concepts taught and methods shared are applicable regardless of the systems engineering tools the attendee may choose.

11.4.0 PEOPLE OR PROCESS: WHICH IS MORE IMPORTANT?

AbstractUsually, systems engineering is perceived as process oriented.Systems engineering standards (ISO 15288, ANSI/EIA‐632, IEEE‐120, MIL‐STD 499C & CMMi) are all focused on processes.The implied claim is that by implementing effective SE processes, it is possible to create good system designs even with mediocre systems engineers.Yet INCOSE also supports a top‐notch certification program to identify the highly‐qualified systems engineers as CSEP and ESEP.The implied claim of certification is that effective systems engineering can be gained only by having effective people, the experienced systems engineers. This panel discusses the important and sensitive dilemma: to be people oriented? Or to be process oriented?The proposed questions to be discussed by the panelists are: Can we achieve successful system design by applying only effective systems engineering processes? Can we achieve successful systems design by effective systems engineers even though the systems engineering in situation when processes are poor? How can effective systems engineers be used in organizations where the processes are well developed and well documented? Do well defined systems engineering processes suppress the creativity & innovation of the systems engineers? How to select, recruit, educate & develop effective systems engineers? Is there a “golden rule” how to integrate systems engineers with processes for successful systems design & engineering?

2.3.3 Modeling High Level Requirements in UML/SysML

AbstractModeling requirements with the Unified Modeling Language (UML) can be confusing for both first time and experienced systems engineers. Often this is due to inexperience with UML, or a reliance on object‐oriented techniques, where it is necessary to identify objects as the starting point for evaluating a potential system. When modeling requirements, however, this is normally the “pre‐object” stage, where identifying potential objects can mean defining the solution rather than defining the requirements. The techniques described in this paper focus on the UML/SysML diagrams that do not require objects, and are therefore better suited to this early part of the systems engineering lifecycle. In addition to expressing the requirements in a pure form, they help to identify system interaction, potential interfaces and the characteristics of these interfaces, and algorithms and equations. They also provide a means to achieve handover and traceability to subsequent stages of development, when object‐oriented techniques may be more appropriate.

TQM DEVELOPMENT OF A SYSTEMS ENGINEERING PROCESS

AbstractThe paper documents a successful method used to define and improve a systems engineering process. Using the group consensus, employee‐oriented techniques of the Total Quality Management method, Harris Information Systems Division has standardized and significantly improved their systems engineering process over a four‐year period. The development of the standard process uses a ten‐step improvement method previously applied only in manufacturing areas. The Systems Engineering process team, consisting of experienced systems engineers, sequentially defined process outputs, internal/external customers, process requirements, the detailed process, and metrics.

Pulse Network Problems Solved by Experienced Systems Engineers

Pulse Network Problems Solved by Experienced Systems Engineers