Functional Flow Diagram(FFD): Semantics for evolving software

Chourey, Vaishali; Sharma, Meera

doi:10.1109/icacci.2016.7732377

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…For example, because of the practical constraint that formal requirements are not always available before FD, the process may be applied in parallel with defining requirements [4]. When nonfunctional aspects of a system must be evaluated, FD can be applied by extending the semantics of UML [6]. Within shared and multi‐tenant cloud application environments, FD can be applied with the intent to independently analyze, design, develop, and maintain multiple business processes [8].…”

Section: Afdmentioning

confidence: 99%

Annotated functional decomposition

Tubić

Cvetanović

Radivojević

et al. 2021

Comp Applic In Engineering

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Experiences gained from the domain‐specific courses showed that students focus mostly on how to implement solutions and less on what must be considered within the solution. In the case of information systems‐related courses, students focus on system development using specific languages and frameworks while often disregard the required logical checks and constraints. This paper introduces annotated functional decomposition (AFD) to assist students in overcoming the challenge of understanding the logic of an information system. AFD leverages methodological concepts from computational thinking and represents a problem decomposition approach that is extended with additional levels of decomposition. These levels of decomposition are orthogonal and implemented with annotations that enrich a decomposition with information regarding control and data flow, as well as reuse and implementation details. AFD could be exercised with a supporting AFD Tool developed as an Eclipse IDE plugin that performs syntax and semantic checks along with the generation of UML sequential diagrams. The AFD Tool and its source code are available free of charge. Quantitative and qualitative evaluations of AFD Tool usage during an information systems course revealed that students who used AFD achieved higher average grades than those who used UML for solving the same problems, and moreover that students perceived AFD as easy to understand and use.

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Section: Afdmentioning

confidence: 99%

Annotated functional decomposition

Tubić

Cvetanović

Radivojević

et al. 2021

Comp Applic In Engineering

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“…Shopping The previous works on synthesis of FFBD [25,26] is inspired from use case diagram, component diagram or sequence diagram. The activity diagram is another approach to defining flow in the system.…”

Section: Figure 6: Functional Flow Block Diagram For Onlinementioning

confidence: 99%

“…Also, the familiarity with UML makes it understandable and easy to adopt for complex communicating code modules. In continuation of our past work [25,26] that introduced FFBDs in system analysis, we investigated various formal techniques and found FFBRD as defined in this paper with semantics of UML for visualization, prediction and estimation processes.…”

Section: Introductionmentioning

confidence: 99%

SR-UML: Quality Visualization in Software Design

Chourey¹,

Sharma²

2019

IJITEE

Self Cite

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The current requirements of software are intensively based on load sharing, on-demand services, cascading requirements, redundancy for reliability and executing on heterogeneous environments. It needs precise architectural details for development of such software systems. These are large scale software systems with complex interactions amongst the constituent components. Testing for performance and conformance to quality requires perspective modeling fordesigning critical systems. The analysis of these systems is focused on dynamic or execution time behavior for achieving quality. In the same context, this paper redefines Functional Flow Specification for dynamic analysis of critical and collaborating systems. Functional Flow based modeling is a mature concept in the domain of system engineering but is rarely applicable to software systems. Functional Flow Block Reliability Diagram (FFBRD) is a notation for abstract view of the system evolution and interactions. This adopts the specification format of UML and system modeling conventions of SysML specially Enhanced Functional Flow Block Diagram (EFFBD). The flow of data and control are so designed that it best suits the approaches for quality analysis like system reliability. The method proposed is System Reliability with UML or SR-UML for generating test through FFBRD. It also caters to the need of designing software in a familiar formalization for extending, translating and simulating with existing algorithms. From the results collected through various scenarios, we can conclude that SR-UML is instrumental in process improvement of current software development methods

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“…Task-oriented approaches represent the flows of functions through the system with respect to causality in the chain sequence, focusing on structure-independent description of what needs to be achieved. The functional flow block diagram (NASA, 2007; Chourey & Sharma, 2016) provides a network structure of functions of the system in a sequential relationship that leads to the achievement of overall system function. The functional flow block diagram is well supported by tools, for example, the SysML activity diagram (Friedenthal et al, 2008).…”

Section: Function Modeling Backgroundmentioning

confidence: 99%

Function modeling using the system state flow diagram

Yildirim

Campean

Williams

2017

AIEDAM

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This paper introduces a rigorous framework for function modeling of complex multidisciplinary systems based on the system state flow diagram (SSFD). The work addresses the need for a consistent methodology to support solution-neutral function-based system decomposition analysis, facilitating the design, modeling, and analysis of complex systems architectures. A rigorous basis for the SSFD is established by defining conventions for states and function definitions and a representation scheme, underpinned by a critical review of existing literature. A set of heuristics are introduced to support the function decomposition analysis and to facilitate the deployment of the methodology with strong practitioner guidelines. The SSFD heuristics extend the existing framework of Otto and Wood (2001) by introducing a conditional fork node heuristic, to facilitate analysis and aggregation of function models across multiple modes of operation of the system. The empirical validation of the SSFD function modeling framework is discussed in relation to its application to two case studies: a benchmark problem (glue gun) set for the engineering design community; and an industrial case study of an electric vehicle powertrain. Based on the evidence from the two case studies presented in the paper, a critical evaluation of the SSFD function modeling methodology is discussed based on the function benchmarking framework established by Summers et al. (2013), considering the representation, modeling, cognitive, and reasoning characteristics. The significance of this paper is that it establishes a rigorous reference framework for the SSFD function representation and a consistent methodology to guide the practitioner with its deployment, facilitating its impact to industrial practice.

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Functional Flow Diagram(FFD): Semantics for evolving software

Cited by 4 publications

References 20 publications

Annotated functional decomposition

Annotated functional decomposition

SR-UML: Quality Visualization in Software Design

Function modeling using the system state flow diagram

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