470 likes | 553 Views
Chapter 13. Designing the System Internals. Learning Objectives. Understand the concepts of structured and modular systems design Learn the principles and guidelines associated with good systems design practices. Learning Objectives.
E N D
Chapter 13 Designing the System Internals
Learning Objectives • Understand the concepts of structured and modular systems design • Learn the principles and guidelines associated with good systems design practices
Learning Objectives • Explain the concepts of factoring, module size, coupling, and cohesion • Learn to identify and correct for the various types of undesirable cohesion and module coupling
Learning Objectives • Understand the concepts behind the hierarchical structure diagram • Derive a structure diagram from a DFD using either a transform or a transaction analysis approach
Modular Design • Decomposes a large, complex software application into smaller, interrelated components call modules
Modular Design • Module • A group of executable instructions with a single point of entry and a single point of exit • Designed to perform its functions independently from all other modules • Should be designed to perform a single function • Minimize the dependency among modules
Principles of Good Internal Design • To create a system • Easy to read and understand • Easy to code and revise • Easy to maintain
System Factoring • Bottom-up Approach • Identifies the processes that need to be a part of the system • Codes each identified process as a module that interface with all other process modules
System Factoring • Top-down Approach • The system is first viewed in the broadest possible sense • Then the system is decomposed into subsystems that work together to efficiently and effectively reach the stated objectives for the overall system
Module Span • A single module does not have control over more than five to seven subordinate modules • Low fan-out design
CEO VP Finance VP Marketing VP Acctg VP Mfg. VP IS Acctg Dept. Plant Operations Finance Dept. Marketing Dept. Excess Span of Control CEO COO CFO CIO IS Director VP Finance VP Acctg VP Marketing VP Mfg. IS Dept. Finance Dept. Acctg Dept. Marketing Dept. Plant Operations Hierarchical Span of Control Figure 13-1. Example of Excess and Hierarchical Span of Control
1.0 Payroll Program 1.1Get Payroll Record 1.2 Edit Payroll Record 1.3 Calculate Gross Pay 1.4 Calculate Deductions 1.5 Calculate Net Pay 1.6 Generate Paycheck 1.7 Update Payroll Record High Fan-Out 1.0 Payroll Program 1.1 Get Payroll Record 1.2 Calculate Employee Pay 1.3 Generate Paycheck 1.4 Update Payroll Record 1.1.1 Edit Payroll Record 1.4.1 Print Payroll Report 1.4.2 Append Payroll File 1.2.1 Calculate Gross Pay 1.2.2 Calculate Taxes 1.2.3 Calculate Deductions 1.2.4 Calculate Net Pay Low Fan-Out Figure 13-2. Example of High and Low Fan-Out Module Structures
Module Cohesion • A measure of completeness • Every statement in a module should relate to the identified function of that module
Types of Cohesion • Functional Cohesion • Modules accomplish a single, well-defined task or function
Types of Cohesion • Sequential Cohesion • The relationship between one instruction and the next in a given module • The result or output of one instruction becomes the input for the next instruction
Types of Cohesion • Communicational Cohesion • Two or more tasks within the same module use the same piece of data • Sequence of those tasks is not critical
Types of Cohesion • Procedural Cohesion • Instruction set in a module performs multiple functions that have a specific sequence in which they must be performed
Types of Cohesion • Temporal Cohesion • Instructions were grouped together because of some common relationship based on time • They all need to be executed at about the same point in time
Types of Cohesion • Logical Cohesion • Instructions are grouped together only because they appear to fall into the same logical class of functions
Types of Cohesion • Coincidental Cohesion • Instructions within the module have little or no relationship
Module Coupling • The extent of to which two or more program modules are interdependent • The goal is to create modules that are completely independent or that display loose coupling
Types of Coupling • Data Couple • The dependency between the two modules is limited to the fact they pass data between each other • Control Coupling • One module passes control information or flag to another module
Types of Coupling • Stamp Couple • Data are passed between modules in the form of data structure or entire record • Any change to the data structure of file sequence could also have an adverse effect on module execution
Types of Coupling • Common Coupled • Two modules both refer to the same global data area • Content Coupling • One module actually modifies the procedural content of another module
Hierarchical Structure Diagram • Also called Structure Chart • Illustrates the relationship of the modules to each other • Displays the flow and processing of data between and within the various modules of the system in hierarchical form
DFDs versus Structure Charts • The intended audience for the DFD is composed of business managers and end users • The audience for the structure chart is entirely made up of application programmers
4.0 1.0 2.0 3.0 5.0 DISPLAY OUTPUT PROCESS DATA FORMAT OUTPUT READ INPUT DATA EDIT INPUT DATA (a) CENTRAL TRANSFORM INPUT STREAM OUTPUT STREAM (b) THE SYSTEM INPUT STREAM OUTPUT STREAM INPUT OUTPUT INPUT OUTPUT GET INPUT DATA PROCESS DATA GENERATE OUTPUT OUTPUT FORMATTED OUTPUT EDIT FLAG RAW DATA RAW DATA FORMATTED OUTPUT FORMAT OUTPUT DISPLAY OUTPUT READ INPUT DATA EDIT INPUT DATA Figure 13-3. Example of a Generalized DFD and Its Associated Hierarchical Structure Diagram
Deriving the Hierarchical Structure Diagram • Preparing the DFDs • Insure all processes on the DFD perform only one function • Mono-functionality • Each new process has either a single input with multiple outputs or a single output from multiple inputs
Deriving the Hierarchical Structure Diagram • Preparing the DFDs • Add those processes that are associated with reading, modifying, and deleting data from the various data stores on the DFD • Add processes focused on exceptions, error trapping, and internal control issues
(a) SINK 2.0 1.0 2.0 3.0 4.0 1.0 3.0 PROCESS C PROCESS D PROCESS A PROCESS C PROCESS B PROCESS A PROCESS B SOURCE A C C B A B DATA STORE DATA STORE DATA STORE DATA STORE DATA STORE DATA STORE (b) SINK SOURCE Figure 13-4. Expanding Multi-Function Processes on a DFD for Conversion to a Structure Diagram
(a) New Data Deleted Data Updated Data SOURCE (b) 3.0 5.0 2.0 1.0 1.0 4.0 SOURCE ADD NEW DATA READ DATA PROCESS PROCESS DELETEDATA UPDATEDATA A A B B C D C DC DATA STORE DATA STORE DATA STORE DATA STORE DATA STORE DATA STORE DATA STORE DATA STORE Figure 13-5. Example of Adding Data Access and Maintenance Processes to a DFD
DFD Conversion Strategies • Transform Analysis • Transaction Analysis
Transform Analysis • The various processes are divided into three categories: • Those that perform either input or input editing function • Those that perform calculations or process data • Those that serve to create or finalize system output
Transform Analysis • DFDs are partitioned into three categories • Afferent processes • Efferent processes • Central transform
8.0 1.0 3.0 10.0 4.0 2.0 6.0 7.0 9.0 5.0 PROCESS PROCESS PROCESS PROCESS PROCESS PROCESS PROCESS PROCESS PROCESS 9.0 4.0 5.0 1.0 8.0 2.0 7.0 3.0 PROCESS 6.0 10.0 Afferent Transform Efferent MAIN CONTROL AFFERENT TRANSFORM EFFERENT Figure 13-6. The Categorization into Afferent, Transform, and Efferent Processes -Implies a Hierarchical Control Structure
Figure 13-7. First Draft Structure Diagram From a Simple DFD
Transaction Analysis • Examines the DFD for the purpose of identifying processes that represent transaction centers
Figure 13-9. Transaction Analysis Approach to Deriving a Structure Diagram
Advantages of Structure Chart • It allows the evolution of the actual program code to occur in the same logical step-by-step manner that was employed in constructing the logical DFD • By arranging the program into a hierarchical set of modules, the program structure becomes both well-organized and easily manageable
Advantages of Structure Chart • Allows for a detailed quality analysis of the various modules within the system with regard to appropriate coupling and cohesion • Any error or future upgrades are localized and easier to maintain
Disadvantages of Structure Chart • The development of a good structure chart requires a great deal of effort • Most modern CASE tools do not yet completely facilitate the conversion of a leveled set of DFDs into a finished structure diagram
Chapter Summary • The conversion of the logical DFDs into a usable set of structure charts has transformed our system from a logical sequence of processes and data flows into a well-structured set of modules that are related in both an effective and efficient manner.
Chapter 13 End of Chapter