oorpt object-oriented reengineering patterns and techniques 1. introduction prof. o. nierstrasz
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© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.2
OORPT
Lecturer
Prof. Oscar [email protected]ützenmattstr. 14/103,Tel. 031 631.4618
Assistants Dr. Tudor Gîrba, Adrian Kuhn
Lectures IWI 001, Wednesdays @ 10h15-12h00
Exercises IWI 001, Wednesdays @ 12h00-13h00
WWW www.iam.unibe.ch/~scg/Teaching/OORPT/
Email list www.iam.unibe.ch/mailman/listinfo/oorpt-vorlesung
Text
“Object-Oriented Reengineering Patterns,” Serge Demeyer, Stéphane Ducasse and Oscar Nierstrasz, Morgan Kaufmann and DPunkt, 2002, ISBN 1-55860-639-4.
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.3
Roadmap
> Goals of this course> Why Reengineer?
— Lehman's Laws— Object-Oriented Legacy
> Typical Problems— common symptoms— architectural problems
& refactoring opportunities
> Reverse and Reengineering— Definitions— Techniques— Patterns
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.4
Roadmap
> Goals of this course> Why Reengineer?
— Lehman's Laws— Object-Oriented Legacy
> Typical Problems— common symptoms— architectural problems
& refactoring opportunities
> Reverse and Reengineering— Definitions— Techniques— Patterns
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.5
Goals of this course
We will try to convince you:
> Yes, Virginia, there are object-oriented legacy systems too!
> Reverse engineering and reengineering are essential activities in the lifecycle of any successful software system. (And especially OO ones!)
> There is a large set of lightweight tools and techniques to help you with reengineering.
> Despite these tools and techniques, people must do job and they represent the most valuable resource.
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.6
Course Schedule
Week Date Lesson
1 25-Oct-06 Introduction
2 1-Nov-06 Lab — understanding legacy software
3 8-Nov-06 Presentation of results (all groups)
4 15-Nov-06 Reverse Engineering
5 22-Nov-06 Visualization for Program Understanding
6 29-Nov-06 Design Extraction and Visualization
7 6-Dec-06 Problem Detection and Duplicated Code
8 13-Dec-06 Restructuring
9 20-Dec-06 Lab — using reengineering tools
10 10-Jan-07 Meta-modeling
11 17-Jan-07 Architectural Extraction
12 24-Jan-07 Testing and Migration Strategies
13 31-Jan-07 TBA
14 7-Feb-07 Final Exam
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.7
Email list
Please register yourself in the course mailing list!
https://www.iam.unibe.ch/mailman/listinfo/oorpt-vorlesung
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.8
Roadmap
> Goals of this course> Why Reengineer?
— Lehman's Laws— Object-Oriented Legacy
> Typical Problems— common symptoms— architectural problems
& refactoring opportunities
> Reverse and Reengineering— Definitions— Techniques— Patterns
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.9
What is a Legacy System ?
“legacy”A sum of money, or a specified article, given to another by will; anything handed down by an ancestor or predecessor. — Oxford English Dictionary
so, further evolution and development may be prohibitively expensive so, further evolution and development may be prohibitively expensive
A legacy system is a piece of software that:
• you have inherited, and• is valuable to you.
Typical problems with legacy systems:• original developers not available• outdated development methods used• extensive patches and modifications
have been made• missing or outdated documentation
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.10
Software Maintenance - Cost
requirementdesign
codingtesting
delivery
x 1
x 5
x 10
x 20
x 200
Relative Maintenance EffortBetween 50% and 75% of
global effort is spent on “maintenance” !
Relative Costof Fixing Mistakes
Solution ?• Better requirements engineering?• Better software methods & tools
(database schemas, CASE-tools, objects, components, …)?
Solution ?• Better requirements engineering?• Better software methods & tools
(database schemas, CASE-tools, objects, components, …)?
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.11
Continuous Development
17.4% Corrective(fixing reported errors)
18.2% Adaptive(new platforms or OS)
60.3% Perfective(new functionality)
The bulk of the maintenance cost is due to new functionality even with better requirements, it is hard to predict new functions
The bulk of the maintenance cost is due to new functionality even with better requirements, it is hard to predict new functions
data from [Lien78a]4.1% Other
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.12
Lehman's Laws
A classic study by Lehman and Belady [Lehm85a] identified several “laws” of system change.
Continuing change> A program that is used in a real-world environment must change, or
become progressively less useful in that environment.
Increasing complexity> As a program evolves, it becomes more complex, and extra
resources are needed to preserve and simplify its structure.
Those laws are still applicable…Those laws are still applicable…
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.13
What about Objects ?
Object-oriented legacy systems> = successful OO systems whose architecture and design no longer
responds to changing requirements
Compared to traditional legacy systems> The symptoms and the source of the problems are the same> The technical details and solutions may differ
OO techniques promise better> flexibility, > reusability, > maintainability> …
they do not come for free they do not come for free
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.14
What about Components ?
Components can be very brittle …After a while one inevitably resorts to glue :-)Components can be very brittle …After a while one inevitably resorts to glue :-)
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.15
(*) process-oriented structured methods, information engineering,data-oriented methods, prototyping, CASE-tools – not OO !
Contradiction ? No!• modern methods make it easier to change
... this capacity is used to enhance functionality!
Contradiction ? No!• modern methods make it easier to change
... this capacity is used to enhance functionality!
Modern Methods & Tools ?
[Glas98a] quoting empirical study from Sasa Dekleva (1992)> Modern methods(*) lead to more reliable software> Modern methods lead to less frequent software repair> and ...> Modern methods lead to more total maintenance time
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.16
How to deal with Legacy ?
New or changing requirements will gradually degrade original design… unless extra development effort is spent to adapt the structure
New Functionality
Hack it in ?
• duplicated code• complex conditionals• abusive inheritance• large classes/methods
First …• refactor• restructure• reengineer
Take a loan on your software pay back via reengineeringTake a loan on your software pay back via reengineering
Investment for the future paid back during maintenanceInvestment for the future paid back during maintenance
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.17
Roadmap
> Goals of this course> Why Reengineer?
— Lehman's Laws— Object-Oriented Legacy
> Typical Problems— common symptoms— architectural problems
& refactoring opportunities
> Reverse and Reengineering— Definitions— Techniques— Patterns
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.18
Common Symptoms
Lack of Knowledge> obsolete or no documentation> departure of the original
developers or users> disappearance of inside
knowledge about the system> limited understanding of entire
system missing tests
Lack of Knowledge> obsolete or no documentation> departure of the original
developers or users> disappearance of inside
knowledge about the system> limited understanding of entire
system missing tests
Process symptoms> too long to turn things over to
production> need for constant bug fixes> maintenance dependencies> difficulties separating products
simple changes take too long
Process symptoms> too long to turn things over to
production> need for constant bug fixes> maintenance dependencies> difficulties separating products
simple changes take too long
Code symptoms• duplicated code• code smells
big build times
Code symptoms• duplicated code• code smells
big build times
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.19
Common Problems
Architectural Problems> insufficient documentation
= non-existent or out-of-date> improper layering
= too few or too many layers> lack of modularity
= strong coupling> duplicated code
= copy, paste & edit code> duplicated functionality
= similar functionality by separate teams
Architectural Problems> insufficient documentation
= non-existent or out-of-date> improper layering
= too few or too many layers> lack of modularity
= strong coupling> duplicated code
= copy, paste & edit code> duplicated functionality
= similar functionality by separate teams
Refactoring opportunities> misuse of inheritance
= code reuse vs polymorphism> missing inheritance
= duplication, case-statements> misplaced operations
= operations outside classes> violation of encapsulation
= type-casting; C++ "friends"> class abuse
= classes as namespaces
Refactoring opportunities> misuse of inheritance
= code reuse vs polymorphism> missing inheritance
= duplication, case-statements> misplaced operations
= operations outside classes> violation of encapsulation
= type-casting; C++ "friends"> class abuse
= classes as namespaces
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.20
FAMOOS Case Studies
Different reengineering goals … but common themes and problems !Different reengineering goals … but common themes and problems !
Domain LOC Reengineering Goal
pipeline planning 55,000 extract design
user interface 60,000 increase flexibility
embedded switching
180,000 improve modularity
mail sorting 350,000 portability & scalability
network management
2,000,000 unbundle application
space mission 2,500,000 identify components
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.21
Roadmap
> Goals of this course> Why Reengineer?
— Lehman's Laws— Object-Oriented Legacy
> Typical Problems— common symptoms— architectural problems
& refactoring opportunities
> Reverse and Reengineering— Definitions— Techniques— Patterns
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.22
Some Terminology
“Forward Engineering is the traditional process of moving from high-level abstractions and logical, implementation-independent designs to the physical implementation of a system.”
“Reverse Engineering is the process of analyzing a subject system to identify the system’s components and their interrelationships and create representations of the system in another form or at a higher level of abstraction.”
“Reengineering ... is the examination and alteration of a subject system to reconstitute it in a new form and the subsequent implementation of the new form.”
— Chikofsky and Cross [in Arnold, 1993]
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.23
Goals of Reverse Engineering
> Cope with complexity— need techniques to understand large, complex systems
> Generate alternative views— automatically generate different ways to view systems
> Recover lost information— extract what changes have been made and why
> Detect side effects— help understand ramifications of changes
> Synthesize higher abstractions— identify latent abstractions in software
> Facilitate reuse— detect candidate reusable artifacts and components
— Chikofsky and Cross [in Arnold, 1993]
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.24
Reverse Engineering Techniques
> Redocumentation— pretty printers— diagram generators— cross-reference listing generators
> Design recovery— software metrics— browsers, visualization tools— static analyzers— dynamic (trace) analyzers
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.25
Goals of Reengineering
> Unbundling— split a monolithic system into parts that can be separately
marketed> Performance
— “first do it, then do it right, then do it fast” — experience shows this is the right sequence!
> Port to other Platform— the architecture must distinguish the platform dependent
modules> Design extraction
— to improve maintainability, portability, etc.> Exploitation of New Technology
— i.e., new language features, standards, libraries, etc.
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.26
Reengineering Techniques
> Restructuring— automatic conversion from unstructured to structured code— source code translation
— Chikofsky and Cross
> Data reengineering— integrating and centralizing multiple databases— unifying multiple, inconsistent representations— upgrading data models
— Sommerville, ch 32
> Refactoring — renaming/moving methods/classes etc.
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.27
The Reengineering Life-Cycle
Requirements
Designs
Code
(0) requirementanalysis
(1) modelcapture
(2) problemdetection (3) problem
resolution
(4) program transformation
• people centric• lightweight
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.28
Reverse engineering Patterns
Reverse engineering patterns encode expertise and trade-offs in extracting design from source code, running systems and people.
— Even if design documents exist, they are typically out of sync with reality.
Example: Interview During Demo
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.29
Reengineering Patterns
Reengineering patterns encode expertise and trade-offs in transforming legacy code to resolve problems that have emerged.
— These problems are typically not apparent in original design but are due to architectural drift as requirements evolve
Example: Move Behaviour Close to Data
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.30
A Map of Reengineering Patterns
Tests: Your Life Insurance
Detailed Model Capture
Initial Understanding
First Contact
Setting Direction
Migration Strategies
Detecting Duplicated Code
Redistribute Responsibilities
Transform Conditionals to Polymorphism
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.31
Summary
> Software “maintenance” is really continuous
development
> Object-oriented software also suffers from legacy
symptoms
> Reengineering goals differ; symptoms don’t
> Common, lightweight techniques can be applied to keep
software healthy
© Stéphane Ducasse, Serge Demeyer, Oscar Nierstrasz
OORPT — Introduction
1.32
License
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• For any reuse or distribution, you must make clear to others the license terms of this work.• Any of these conditions can be waived if you get permission from the copyright holder.
Your fair use and other rights are in no way affected by the above.
Attribution-ShareAlike 2.5You are free:• to copy, distribute, display, and perform the work• to make derivative works• to make commercial use of the work
Under the following conditions:
Attribution. You must attribute the work in the manner specified by the author or licensor.
Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under a license identical to this one.
• For any reuse or distribution, you must make clear to others the license terms of this work.• Any of these conditions can be waived if you get permission from the copyright holder.
Your fair use and other rights are in no way affected by the above.