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UsingUML,Patterns,andJava
Object-OrientedSoftwareEngineering
Chapter 1: Introduction
Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 2
Why is software development difficult?
• The problem domain (also called application
domain) is difficult
• The solution domain is difficult
• The development process is difficult to manage
• Software offers extreme flexibility
• Software is a discrete system
• Continuous systems have no hidden surprises
• Discrete systems can have hidden surprises! (Parnas)
David Lorge Parnas is an early pioneer in
software engineering who developed the
concepts of modularity and information hiding
in systems which are the foundation of
object oriented methodologies.
Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 3
Software Engineering is more than
writing Code
• Problem solving
• Creating a solution
• Engineering a system based on the solution
• Modeling
• Knowledge acquisition
• Rationale management
Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 4
Computer Science vs. Engineering
• Computer Scientist
• Assumes techniques and tools have to be developed.
• Proves theorems about algorithms, designs languages,
defines knowledge representation schemes
• Has infinite time…
• Engineer
• Develops a solution for a problem formulated by a client
• Uses computers & languages, techniques and tools
• Software Engineer
• Works in multiple application domains
• Has only 3 months...
• …while changes occurs in the problem formulation
(requirements) and also in the available technology.
Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 5
20
Challenge: Dealing with complexity and
change
Software Engineering is a collection of techniques,
methodologies and tools that help with the
production of
A high quality software system developed with a
given budget before a given deadline
while change occurs
Software Engineering: A Working
Definition
Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 6
Software Engineering:
A Problem Solving Activity
• Analysis:
• Understand the nature of the problem and break the
problem into pieces
• Synthesis:
• Put the pieces together into a large structure
For problem solving we use techniques,
methodologies and tools.
Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 6
Software Engineering:
A Problem Solving Activity
• Analysis:
• Understand the nature of the problem and break the
problem into pieces
• Synthesis:
• Put the pieces together into a large structure
For problem solving we use techniques,
methodologies and tools.

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Lo 11

  • 2. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 2 Why is software development difficult? • The problem domain (also called application domain) is difficult • The solution domain is difficult • The development process is difficult to manage • Software offers extreme flexibility • Software is a discrete system • Continuous systems have no hidden surprises • Discrete systems can have hidden surprises! (Parnas) David Lorge Parnas is an early pioneer in software engineering who developed the concepts of modularity and information hiding in systems which are the foundation of object oriented methodologies.
  • 3. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 3 Software Engineering is more than writing Code • Problem solving • Creating a solution • Engineering a system based on the solution • Modeling • Knowledge acquisition • Rationale management
  • 4. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 4 Computer Science vs. Engineering • Computer Scientist • Assumes techniques and tools have to be developed. • Proves theorems about algorithms, designs languages, defines knowledge representation schemes • Has infinite time… • Engineer • Develops a solution for a problem formulated by a client • Uses computers & languages, techniques and tools • Software Engineer • Works in multiple application domains • Has only 3 months... • …while changes occurs in the problem formulation (requirements) and also in the available technology.
  • 5. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 5 20 Challenge: Dealing with complexity and change Software Engineering is a collection of techniques, methodologies and tools that help with the production of A high quality software system developed with a given budget before a given deadline while change occurs Software Engineering: A Working Definition
  • 6. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 6 Software Engineering: A Problem Solving Activity • Analysis: • Understand the nature of the problem and break the problem into pieces • Synthesis: • Put the pieces together into a large structure For problem solving we use techniques, methodologies and tools.
  • 7. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 6 Software Engineering: A Problem Solving Activity • Analysis: • Understand the nature of the problem and break the problem into pieces • Synthesis: • Put the pieces together into a large structure For problem solving we use techniques, methodologies and tools.

Editor's Notes

  1. So, in addition to the requirements of the system which have to be unambigous, we need to identify the end user ,the person that is ultimately using the system. The problem domain is sometimes difficult, just because we are not experts in it. That is, it might not be intellectually challenging, but because you are not an expert in it, you have to learn it. Couple this with learning several problem domains, and that is what you will have to do as a software engineer, and the problem becomes obvious. The development process is very difficult to manage. This has taken some time and some billion dollars to learn, but we are now starting to accept the fact, that software development is a complex activity. One of the assumptions that managers have made in the past, is that software development can be managed as a set of steps in linear fashion, for example: Requirements Specification, followed by System Design followed by Implementation followed by Testing and Delivery. In reality this is not that easy. Software Development does not follow a linear process. It is highly nonlinear. There are dependencies between the way you design a system and the functionality you require it to have. Moreover, and that makes it really tricky, some of these dependencies cannot be formulated unless you try the design. Another issue: Software is extremely flexible. We can change almost anything that we have designed in software. While it is hard to change the layout of a washing machine, it is extremely easy to change the program running it. Here is another problem: When you are sitting in a plane in a window seat, and you push a button to call the steward for a drink, you don’t expect the system to take a hard left turn and dive down into the pacific. This can happen with digital systems. One of the reasons: While you can decompose the system into subsystems, say “Call Steward” and “Flight Control” subsystems, if you don’t follow good design rules, you might have used some global variable for each of these subsystems. In the old days, when memory was expensive, programmers did this, as we learned in the case of the space shuttle. And one of these global variables used by the “Flight Control” subsystem might have unintentionally ben been overwritten by the “Call Steward” SubSystem.
  2. It requires the most differing activities and abilities in problem solving, abstract thinking, knowledge acquisition and understanding the reasons behind decisions We will cover each of these areas in class as we move along. To aid you in each of these areas, we are using 3 types of weapons, Techniques, Methodologies and Tools
  3. A computer scientist assumes that techniques, methodologies and tools are to be developed. They investigate in designs for each of these weapons, and prove theorems that specify they do what they are intended to do. They also design languages that allow us to express techniques. To do all this, a computer scientist has available an infinite amount of time. A software engineering views these issues as solved. The only question for the software engineer is how these tools, techniques and methodologies can be used to solve the problem at hand. What they have to worry about is how to do it under the time pressure of a deadline. In addition they have to worry about a budget that might constrain the solution, and often, the use of tools. Good software engineering tools can cost up to a couple of $10,000 Dollars
  4. Let‘s come up with th a working definition for software engineering. This definition helps us to get started, because it contains the major problem areas that we have to deal with during software development.
  5. What is Software Engineering? The goal is to produce high quality software to satisfy a set of functional and nonfunctional requirements. How do we do that? First, and foremost, by acknowledging that it is a problem solving activity. That is, it has to rely on well known techniques that are used all over the world for solving problems. There are two major parts of any problem solving process: Analysis: Understand the nature of the problem. This is done by looking at the problem and trying to see if there are subaspects that can be solved independently from each other. This means, that we need to identify the pieces of the puzzle (In object-oriented development, we will call this object identification). Synthesis: Once you have identified the pieces, you want to put them back together into a larger structure, usually by keeping some type of structure within the structure.