The document discusses various techniques for modeling software requirements including:
1) Entity-relationship diagrams (ERDs) which model data objects and their relationships to understand the data domain.
2) Use case modeling which describes scenarios of how external actors will use the system through use cases and diagrams.
3) Flow-oriented modeling using data flow diagrams (DFDs) which represent how data objects are transformed as they move through the system.
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Three days workshop on Basics of Software Engineering at Thapar University, Patiala on 7th-9th, 2013. Workshop on Basics of Software Engineering (DFD, UML and Project Culture)
Workshop on Basics of Software Engineering (DFD, UML and Project Culture)Dr Sukhpal Singh Gill
Three days workshop on Basics of Software Engineering at Thapar University, Patiala on 7th-9th, 2013. Workshop on Basics of Software Engineering (DFD, UML and Project Culture)
This ppt covers the object modeling techniques. It has four topics: object model, dynamic model, functional model and the relationship between these models.
If you're new to UML, our UML tutorial can get you on the right path. Learn more about what The Unified Modeling Language is, what it does, and why it's important.
This ppt covers the object modeling techniques. It has four topics: object model, dynamic model, functional model and the relationship between these models.
If you're new to UML, our UML tutorial can get you on the right path. Learn more about what The Unified Modeling Language is, what it does, and why it's important.
The Bridge SE is responsible for bridging between Japanese customers and offshore project teams in Vietnam and is able to work a short term or long term in Japan. ... - Transferring the business and quality requirements, detailed functions from the customer to the Offshoring project team.
Process and template for Software development. It is based on Craig Larman\'s software development process. It also describes how to use UML in your project
FORMALIZATION & DATA ABSTRACTION DURING USE CASE MODELING IN OBJECT ORIENTED ...cscpconf
In object oriented analysis and design, use cases represent the things of value that the system performs for its actors in UML and unified process. Use cases are not functions or features.
They allow us to get behavioral abstraction of the system to be. The purpose of the behavioral abstraction is to get to the heart of what a system must do, we must first focus on who (or what)
will use it, or be used by it. After we do this, we look at what the system must do for those users in order to do something useful. That is what exactly we expect from the use cases as the
behavioral abstraction. Apart from this fact use cases are the poor candidates for the data abstraction. Rather the do not have data abstraction. The main reason is it shows or describes
the sequence of events or actions performed by the actor or use case, it does not take data in to account. As we know in earlier stages of the development we believe in ‘what’ rather than
‘how’. ‘What’ does not need to include data whereas ‘how’ depicts the data. As use case moves around ‘what’ only we are not able to extract the data. So in order to incorporate data in use cases one must feel the need of data at the initial stages of the development. We have developed the technique to integrate data in to the uses cases. This paper is regarding our investigations to take care of data during early stages of the software development. The collected abstraction of data helps in the analysis and then assist in forming the attributes of the candidate classes. This makes sure that we will not miss any attribute that is required in the abstracted behavior using use cases. Formalization adds to the accuracy of the data abstraction. We have investigated object constraint language to perform better data abstraction during analysis & design in unified paradigm. In this paper we have presented our research regarding early stage data abstraction and its formalization.
Formalization & data abstraction during use case modeling in object oriented ...csandit
In object oriented analysis and design, use cases represent the things of value that the system
performs for its actors in UML and unified process. Use cases are not functions or features.
They allow us to get behavioral abstraction of the system to be. The purpose of the behavioral
abstraction is to get to the heart of what a system must do, we must first focus on who (or what)
will use it, or be used by it. After we do this, we look at what the system must do for those users
in order to do something useful. That is what exactly we expect from the use cases as the
behavioral abstraction. Apart from this fact use cases are the poor candidates for the data
abstraction. Rather the do not have data abstraction. The main reason is it shows or describes
the sequence of events or actions performed by the actor or use case, it does not take data in to
account. As we know in earlier stages of the development we believe in ‘what’ rather than
‘how’. ‘What’ does not need to include data whereas ‘how’ depicts the data. As use case moves
around ‘what’ only we are not able to extract the data. So in order to incorporate data in use
cases one must feel the need of data at the initial stages of the development. We have developed
the technique to integrate data in to the uses cases. This paper is regarding our investigations
to take care of data during early stages of the software development. The collected abstraction
of data helps in the analysis and then assist in forming the attributes of the candidate classes.
This makes sure that we will not miss any attribute that is required in the abstracted behavior
using use cases. Formalization adds to the accuracy of the data abstraction. We have
investigated object constraint language to perform better data abstraction during analysis &
design in unified paradigm. In this paper we have presented our research regarding early stage
data abstraction and its formalization.
Data may be organized in many different ways; the logical or mathematical model of a particular organization of data is called "Data Structure". The choice of a particular data model depends on two considerations:
It must be rich enough in structure to reflect the actual relationships of the data in the real world.
The structure should be simple enough that one can effectively process the data when necessary.
Data Structure Operations
The particular data structure that one chooses for a given situation depends largely on the nature of specific operations to be performed.
The following are the four major operations associated with any data structure:
i. Traversing : Accessing each record exactly once so that certain items in the record may be processed.
ii. Searching : Finding the location of the record with a given key value, or finding the locations of all records which satisfy one or more conditions.
iii. Inserting : Adding a new record to the structure.
iv. Deleting : Removing a record from the structure.
Primitive and Composite Data Types
Primitive Data Types are Basic data types of any language. In most computers these are native to the machine's hardware.
Some Primitive data types are:
Integer
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9. 8.3.1 What is a Data Object? each instance of an object (e.g., a book) can be identified uniquely (e.g., ISBN #) each plays a necessary role in the system i.e., the system could not function without access to instances of the object each is described by attributes that are themselves data items Object — something that is described by a set of attributes (data items) and that will be manipulated within the software (system)
11. 8.3.2 Data Objects and Attributes A data object contains a set of attributes that act as an aspect, quality, characteristic, or descriptor of the object object: automobile attributes: make model body type price options code
12.
13. 8.3.3 ERD (Entity Relational Diagram) Notation (0, m) (1, 1) object object relationship 1 2 One common form: (0, m) (1, 1) object 1 object 2 relationship Another common form: attribute
14.
15. The ERD: An Example (1,1) (1,m) places Customer request for service generates (1,n) (1,1) work order work tasks materials consists of lists (1,1) (1,w) (1,1) (1,i) selected from standard task table (1,w) (1,1)
19. What is a Class? external entities things occurrences roles organizational units places structures class name attributes: operations:
20. Encapsulation/Hiding The object encapsulates both data and the logical procedures required to manipulate the data Achieves “information hiding” method # 1 data method # 2 method # 4 method # 5 method # 6 method # 3
21. Class Hierarchy Chair Table Desk ” Chable" instances of Chair PieceOfFurniture (superclass) subclasses of the
22. Methods (a.k.a. Operations, Services) An executable procedure that is encapsulated in a class and is designed to operate on one or more data attributes that are defined as part of the class. A method is invoked via message passing.
27. Fig 8.7 Activity Diagram Supplements the use-case by providing a diagrammatic representation of procedural flow
28. Fig 8.8 Swimlane Diagrams Allows the modeler to represent the flow of activities described by the use-case and at the same time indicate which actor (if there are multiple actors involved in a specific use-case) or analysis class has responsibility for the action described by an activity rectangle
29. 8.6 Flow-Oriented Modeling Represents how data objects are transformed at they move through the system A data flow diagram (DFD) is the diagrammatic form that is used Considered by many to be an ‘old school’ approach, flow-oriented modeling continues to provide a view of the system that is unique—it should be used to supplement other analysis model elements
30. The Flow Model Every computer-based system is an information transform .... computer based system input output
32. External Entity A producer or consumer of data Examples: a person, a device, a sensor Another example: computer-based system Data must always originate somewhere and must always be sent to something
33. Process A data transformer (changes input to output) Examples: compute taxes, determine area, format report, display graph Data must always be processed in some way to achieve system function
34. Data Flow Data flows through a system, beginning as input and be transformed into output. compute triangle area base height area
35. Data Stores Data is often stored for later use. look-up sensor data sensor # report required sensor #, type, location, age sensor data sensor number type, location, age
36.
37.
38. Level 0 DFD Example user processing request video source NTSC video signal digital video processor requested video signal monitor
39.
40. The Data Flow Hierarchy P a b x y p1 p2 p3 p4 5 a b c d e f g level 0 level 1
43. DFDs: A Look Ahead Maps into analysis model design model
44.
45. The Control Model the control flow diagram is "superimposed" on the DFD and shows events that control the processes noted in the DFD control flows—events and control items—are noted by dashed arrows a vertical bar implies an input to or output from a control spec (CSPEC) — a separate specification that describes how control is handled a dashed arrow entering a vertical bar is an input to the CSPEC a dashed arrow leaving a process implies a data condition a dashed arrow entering a process implies a control input read directly by the process control flows do not physically activate/deactivate the processes—this is done via the CSPEC
46. Control Specification (CSPEC) The CSPEC can be: state diagram (sequential spec) state transition table decision tables activation tables combinatorial spec
47. Guidelines for Building a CSPEC list all sensors that are "read" by the software list all interrupt conditions list all "switches" that are actuated by the operator list all data conditions recalling the noun-verb parse that was applied to the software statement of scope, review all "control items" as possible CSPEC inputs/outputs describe the behavior of a system by identifying its states; identify how each state is reach and defines the transitions between states focus on possible omissions ... a very common error in specifying control, e.g., ask: "Is there any other way I can get to this state or exit from it?"
48.
49.
50. Selecting Classes—Criteria needed services multiple attributes common attributes common operations essential requirements retained information