This document discusses principles for practical enterprise application development. It introduces enterprise architecture and design, then discusses principles like the single responsibility principle, open/closed principle, and dependency inversion principle. Bad design is described as being hard to change and fragile. Good design principles emphasize modularity, loose coupling, and applying principles like abstraction to achieve open/closed and dependency inversion. The document demonstrates applying these principles through examples and promises a demo.
Business is Changing, Can Your Applications Keep Up?Ajay Khanna
Webinar hosted by BPM Institute. Here I discuss how BPM can help keeping the applications agile and extend existing applications with newer capabilities.
Agile design methodology focuses on understanding problems, analyzing them, sketching solutions, designing prototypes, and collaborating closely with customers. It developed in response to weaknesses in traditional waterfall models. Agile emphasizes individual interactions, delivering high-quality, well-documented systems, and adapting quickly to changes through iterative development and regular feedback. Key principles include valuing individuals and interactions, customer collaboration, and responding to change.
Continuous quality replaces traditional quality assurance approaches with a more adaptive strategy suited for modern business. Effective communication across disciplines and teams is critical for continuous design. Continuous design presents principles for useful customer conversations, expanding expectations beyond software and services to include failures, successes, internal and external journeys, and design and operations. Promise theory provides a model for complex digital systems by focusing on soliciting promises rather than enforcing obligations, unifying design, operations, and validation around keeping promises made.
The document discusses the challenges of scaling agile development across multiple teams and large projects. It introduces Sellegi ACT as a tool that can help manage complex projects by visually integrating information from different sources to provide transparency and traceability across planning, development, and releases. Sellegi ACT enables prioritizing work based on business needs and analyzing the impact of changes to help deliver the right features on time and on budget.
The document discusses goal management and performance management features in Oracle Fusion HCM. It provides overviews of integrated talent management, pay for performance, developing and retaining talent, and organizational behavior alignment. The document also summarizes the value of Fusion goals management in providing executive insight, ongoing conversations, collaboration, and supporting performance and development goals. It describes similar values for Fusion performance management.
The document provides an overview of best practices for professional software design, including writing tests first, applying SOLID principles, avoiding deep nesting and else blocks, using guard clauses, separating commands from queries, favoring composition over inheritance, and writing small, focused classes and methods to reduce complexity. The goal is to create loosely coupled, maintainable code through disciplined refactoring and a message passing architecture with minimal dependencies between objects.
"Refactoring to SOLID Code" session presentation from
Emerging .NET Devs - October 2011 User Group Meeting.
Please note that this presentation has been simplified for publishing.
Business is Changing, Can Your Applications Keep Up?Ajay Khanna
Webinar hosted by BPM Institute. Here I discuss how BPM can help keeping the applications agile and extend existing applications with newer capabilities.
Agile design methodology focuses on understanding problems, analyzing them, sketching solutions, designing prototypes, and collaborating closely with customers. It developed in response to weaknesses in traditional waterfall models. Agile emphasizes individual interactions, delivering high-quality, well-documented systems, and adapting quickly to changes through iterative development and regular feedback. Key principles include valuing individuals and interactions, customer collaboration, and responding to change.
Continuous quality replaces traditional quality assurance approaches with a more adaptive strategy suited for modern business. Effective communication across disciplines and teams is critical for continuous design. Continuous design presents principles for useful customer conversations, expanding expectations beyond software and services to include failures, successes, internal and external journeys, and design and operations. Promise theory provides a model for complex digital systems by focusing on soliciting promises rather than enforcing obligations, unifying design, operations, and validation around keeping promises made.
The document discusses the challenges of scaling agile development across multiple teams and large projects. It introduces Sellegi ACT as a tool that can help manage complex projects by visually integrating information from different sources to provide transparency and traceability across planning, development, and releases. Sellegi ACT enables prioritizing work based on business needs and analyzing the impact of changes to help deliver the right features on time and on budget.
The document discusses goal management and performance management features in Oracle Fusion HCM. It provides overviews of integrated talent management, pay for performance, developing and retaining talent, and organizational behavior alignment. The document also summarizes the value of Fusion goals management in providing executive insight, ongoing conversations, collaboration, and supporting performance and development goals. It describes similar values for Fusion performance management.
The document provides an overview of best practices for professional software design, including writing tests first, applying SOLID principles, avoiding deep nesting and else blocks, using guard clauses, separating commands from queries, favoring composition over inheritance, and writing small, focused classes and methods to reduce complexity. The goal is to create loosely coupled, maintainable code through disciplined refactoring and a message passing architecture with minimal dependencies between objects.
"Refactoring to SOLID Code" session presentation from
Emerging .NET Devs - October 2011 User Group Meeting.
Please note that this presentation has been simplified for publishing.
Different Methodologies Used By Programming TeamsNicole Gomez
The document discusses different programming team methodologies including:
- System development life cycle (SDLC), which is used for large projects and includes waterfall models. It takes time but ensures high quality.
- Agile methodology, designed for small projects, combines methods for faster development that changes with customer needs.
- Extreme programming allows close communication between developers and customers so the software can change rapidly based on customer feedback.
Overall agile methodologies seem to have advantages over SDLC and extreme programming by allowing faster development that can change with customer desires.
Software Architecture for Agile DevelopmentHayim Makabee
Slides of a workshop given at Herzliya on June/2017, organized by ILTAM and IASA Israel. This workshop was dedicated to the topic of Software Architecture in the context of Agile Development. We answered the question: “How much Design Up Front should be done in an Agile project?” Hayim presented his approach of Adaptable Design Up Front (ADUF), describing its rationale, applications in practice and comparison to other approaches such as Emergent Design. He explained why adaptability is essential for the development of complex software systems using Agile methods. The concepts were illustrated through practical software architecture approaches such as micro-services and examples of real software systems that were developed in the past. The workshop also included an exercise on the definition and evolution of the design of an interesting system.
The document provides a checklist of topics for a code quality training agenda, including: TDD/automated tests, continuous delivery, refactoring, design patterns, emergent design, SOLID principles, SOA, paired programming, UML/object modeling, and miscellaneous code craftsmanship best practices. It notes that the list is not comprehensive and the goal is to help organizations determine which topics would be most valuable for their teams. Descriptions are provided for some of the highlighted topics.
The document discusses the SOLID principles of object-oriented design, which are a set of five design principles intended to make software designs more understandable, flexible and maintainable. It defines each principle: single responsibility, open/closed, Liskov substitution, interface segregation, and dependency inversion. Following these principles helps produce code that is less complex, more readable, extensible, maintainable and reusable with looser coupling between modules and better testability compared to code not following these principles.
There are many design principles that have become best practices over the years. Using these principles we can develop scalable and maintainable enterprise application with time tested approaches.
Le cloudvupardesexperts 9pov-curationparloicsimon-clubclouddespartenairesClub Alliances
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Introduction to DevOps slides-converted (1).pptxaasssss1
The document provides an introduction to DevOps. It describes how DevOps seeks to resolve the core conflict between development needs to deploy new features and operations needs to keep systems running by enabling development and operations engineers to participate together throughout the entire service lifecycle. The document outlines key DevOps concepts like breaking down silos between development and operations through communication, collaboration, and integration. It also discusses Gene Kim's Three Ways of DevOps which emphasize systems thinking, creating feedback loops, and a culture of continual experimentation.
Tech challenges in a large scale agile projectHarald Soevik
1. The document discusses three major technical challenges faced in a large-scale Java project that adopted Scrum methodology: modularization, testing environments, and declaratively representing domain knowledge.
2. For modularization, the project struggled with creating an optimal structure that balanced complexity, coupling, and cohesion across modules. Testing multiple environments provided benefits but also challenges in maintenance and automation.
3. Representing domain knowledge declaratively aimed to separate knowledge from implementation, but specific issues are not discussed in the summary due to a missing portion of the original text.
In the context of Iterative Software Development, we ask the question: How much design should be done "up front"?
We propose the approach of Adaptable Design Up Front, which focuses on capturing the essential aspects of the system and plans for extensibility and adaptability.
An introduction to systems design process. We have a look at an in-depth overview of topics in architectural design patterns such as SOLID principles, hexagonal architecture etc. Then we proceed to software design patterns and explore topics such as creational patterns, structural patterns etc. We also have a look at hardware design patterns with examples such as Modularity, pipelining, redundancy etc. And finally, we go through project management methodologies, explaining methodologies such as waterfall, agile, lean etc. Further information was provided on sources to learn more about the presentation.
The Unified Process is an iterative and incremental software development framework that is customized for each project. It emphasizes use case-driven development where each iteration addresses a set of use cases from requirements through testing and deployment. The process is architecture-centric, with the architecture sitting at the heart of the project and multiple views supported. Early iterations create an executable architecture baseline to validate the architecture.
Java TechTalk "Spring boot made life easier with Kubernetes and Microservices"GlobalLogic Ukraine
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The document discusses several software development lifecycle models and methodologies:
- The waterfall model is a linear sequential model where each phase must be completed before the next begins.
- Prototyping models involve iterative development where initial prototypes are created, tested by customers, and refined based on feedback.
- RAD aims for rapid development through reuse of components and automated tools.
- Spiral models combine prototyping and waterfall approaches in iterative cycles to refine requirements and reduce risks.
- RUP divides projects into inception, elaboration, construction, and transition phases using disciplines like requirements and testing.
- EUP extends RUP with additional phases for production and retirement and disciplines for operations and enterprise-level concerns.
The document discusses many software development principles and best practices including SOLID principles, DRY principle, single source of truth, code smells, refactoring, abstraction principle, and agile manifesto values. It also covers topics like design patterns, anti-patterns, quality attributes, test-driven development, and documentation types.
The document discusses various approaches to designing software architectures and systems. It covers the standard engineering design process, potential problems that can arise, and alternative design strategies like cyclic, parallel, adaptive, and incremental processes. It also discusses tools for design like abstraction, separation of concerns, and applying experience. Architectural patterns, styles, and domain-specific software architectures are introduced as ways to apply lessons learned to new designs.
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The document discusses various software development models including the waterfall model, V-model, iterative life cycles, rapid application development (RAD), and agile development. The V-model uses four levels of testing: component, integration, system, and acceptance testing. Iterative life cycles involve dividing delivery into increments with each increment adding new functionality and requiring testing. RAD encourages active customer feedback and early delivery of functionality. Agile development promotes business stories, on-site customer involvement, pair programming, and automated testing integrated several times per day.
This document discusses systems integration and architectural approaches for combining independent systems within an organization. It notes that systems should be designed with an architectural view to avoid failures in interoperability as organizations grow larger. The key aspects covered include:
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- Theories of systems integration including processes, approaches, drivers, tools, techniques, critical success factors and best practices.
- Methods for integrating legacy systems, new systems, business-to-business systems, and commercial off-the-shelf products.
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Tech challenges in a large scale agile projectHarald Soevik
1. The document discusses three major technical challenges faced in a large-scale Java project that adopted Scrum methodology: modularization, testing environments, and declaratively representing domain knowledge.
2. For modularization, the project struggled with creating an optimal structure that balanced complexity, coupling, and cohesion across modules. Testing multiple environments provided benefits but also challenges in maintenance and automation.
3. Representing domain knowledge declaratively aimed to separate knowledge from implementation, but specific issues are not discussed in the summary due to a missing portion of the original text.
In the context of Iterative Software Development, we ask the question: How much design should be done "up front"?
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[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
2. Agenda Introduction Enterprise Architecture and Design What is Bad Design? Good Design Principles for Enterprise Development Single Responsibility Principle The Open Close Principle Dependency Inversion Principle Demo: Applying Principles
3. Introduction Why we are here? From Project development to Product development As we build framework on these principles We want you to start taking care of them To achieve our vision we need to strive for it
4. Enterprise Architecture “Enterprise Architecture is typically used to describe an organization-wide framework for portraying and incorporating the business processes, information flows, systems, applications, data and infrastructure to effectively and efficiently support the organization needs.”
5. Enterprise ArchitectureDeveloper’s point of view Defining a process, framework and set of patterns to design, develop, build and maintain all the software that an organization Unified development platform for creating all elements of software at all levels of design The reusable elements can then be used to geed or drive other applications with similar need Defining solid foundation of code and practices that eventually facilitate interoperability in the heterogeneous software environment
6. Enterprise Development Patterns and practices adopted by programmers endeavoring to implement enterprise architecture They address five key areas: Reliability Flexibility Separations of Concerns Reusability Maintainability
7. Hold on hold… One might think that simple, non-enterprise code that delivers a particular feature is identical in value to enterprise code that delivers precisely the same feature? While enterprise sample might look a bit more complex (only at first), the resulting class or module ultimately provides more reliability or is more maintainable
8. Bad design is... Hard to change! A single change break lots of other code Rigid Fragile Can’t be ‘extended’ Immobile
9. Good Design Principles Enterprise development requires a change in methodologies We are going to look some good design principles now By core, we take care of two things Modularity Loosely Coupled Classes
10. The Single Responsibility Principle "A responsibility is a reason to change, a class or module should have one, and only one, reason to change."
11. The Single Responsibility Principle “There should never be more than one reason for a class to change.” Dijkstra’sSoC: Separation of Concerns Applies on every level of code
14. The Open Closed Principle “Software Entities (Classes, Modules, Functions, etc.) should be open for extension, but closed for modification”
15. The Open Closed Principle Modules that conform to the open-closed principle have two primary attributes Open For Extension behavior of the module can be extended Closed for Modification The source code of such a module is inviolate The normal way to extend the behavior of a module is to make changes to that module. How can these two opposing attributes be resolved?
16. The Open Closed Principle Abstraction is the key to achieve it Server Client Closed Client
17. The Open Closed Principle Abstract Server Client Server Open Client
18. Liskov Substitution Principle “Functions that reference a base class must be able to use objects of derived classes without knowing it."
19. Dependency Inversion Principle “High level modules should not depend upon low level modules. Both should depend upon abstractions. “ “Abstractions should not depend upon details. Details should depend upon abstractions.”
20. BusinessParty Validator Introduce stability with abstraction High Level (Less Stable) BusinessParty Source BusinessParty Validator Trade DB Low Level (More Stable)
24. Reference and Further Learning Professional Enterprise .NET Jon Arking and Scott Millett Combating Software Entropies with Design Principles and Patterns at Tech-Ed ME HammadRajjoub ObjectMentor.com http://www.objectmentor.com/resources/articles/ Practices and Patterns on MSDN http://msdn.microsoft.com/en-us/practices/default.aspx
Editor's Notes
The operative phrase here is all of the software. It includes reusable tools for building client applications, websites, databases, office applications, business automation tools, scripts, and just about anything else that a company may use to get things done.
Enterprise development commonly refers to the patterns and practices adopted by programmers endeavoring to implement enterprise architecture.It is the employment of certain approaches and methodologies that aim to achieve many of the root goals inherent to a successful enterprise system.Reliability: Most would agree that designing systems that are reliable is a must. Yet coding for reliability is a departure from business as usual. This is especially true in the rapid application development community. Many enterprise enthusiasts exchange the term reliability for testability, since most modern enterprise coding patterns aim to facilitate unit testing. Writing code that can be well tested means changing the way that a system’s functionality is modularized.Flexibility: Requirements can change. As a result, so must the software that supports them. If the code that you write prevents an application or system from being extensible, we would say it lacks flexibility. A flexible system allows for the changing of core features without violating unrelated services or attributes. FLEXIBILITY IS DIFFERENT FROM INTEROPERABILITY. Separation of Concerns: Separation of concerns is simply the process of breaking a system or application down into distinct functional layers with limited overlapping of functionality. Like flexibility, separation of concerns address the ability to modularize code and make it more pliable, with the added benefit of logical division.Reusability: Sharing features and services is tantamount to good enterprise design. As code is broken down and separated into logical pieces, these pieces should be designed to provide a distinct feature or satisfy a particular requirement of other system that invoke it. In other words, classes at any one logical level should be reusable by other classes in the same logical level.Maintainability: Maintainability refers to the capacity of a system to be altered or modified. The term maintainability actually means the ease with which a software product can be modified in order to support:StabilityAnalyzabilityChangeability Testability
Yet this shortsighted evaluation fails to address the greater needs of the system, namely core enterprise concepts.
How many times have you come across the code that you can qualify as a ‘bad design’? Or atlease and most commonly would have said, That’s not the way I would have done it.Before we move on. Lets agree on what's a bad design? Ok it’s a bit difficult to be exact about the metrics of bad design in software. But lets agree on some common aspects of bad design.A piece of software that fulfills its requirements and yet exhibits any or all of the following threetraits has a bad design.1. It is hard to change because every change affects too many other parts of the system.(Rigidity)2. When you make a change, unexpected parts of the system break. (Fragility)3. It is hard to reuse in another application because it cannot be disentangled fromthe current application. (Immobility)Moreover, it would be difficult to demonstrate that a piece of software that exhibits none of those traits, i.e. it is flexible, robust, and reusable, and that also fulfills all its requirements, has a bad design. Thus, we can use these three traits as a way to unambiguouslydecide if a design is “good” or “bad”.Code that’s hard to change is bad… Rigid code is bad!Code that has lots of ripple effects.. A single change break lots of other code. Fragile code is bad!Code that cant be re-used… Code that cant be ‘extended’ is bad.. Immobile
Along with new set of development tools and design patterns, enterprise development requires a change in methodologies.
If a class has more then one responsibility, then the responsibilities become coupled. Changes to one responsibility may impair or inhibit the class’ ability to meet the others. This kind of coupling leads to fragile designs that break in unexpected ways when changed.
What is responsibility? … It is a reason for change.If you can think of more than one motive for changing a class, then that class has more than one responsibility.The term separation of concerns was probably coined by Edsger W. Dijkstra in his 1974 paper "On the role of scientific thought"[1].Let me try to explain to you, what to my taste is characteristic for all intelligent thinking. It is, that one is willing to study in depth an aspect of one's subject matter in isolation for the sake of its own consistency, all the time knowing that one is occupying oneself only with one of the aspects. We know that a program must be correct and we can study it from that viewpoint only; we also know that it should be efficient and we can study its efficiency on another day, so to speak. In another mood we may ask ourselves whether, and if so: why, the program is desirable. But nothing is gained --on the contrary!-- by tackling these various aspects simultaneously. It is what I sometimes have called "the separation of concerns", which, even if not perfectly possible, is yet the only available technique for effective ordering of one's thoughts, that I know of. This is what I mean by "focusing one's attention upon some aspect": it does not mean ignoring the other aspects, it is just doing justice to the fact that from this aspect's point of view, the other is irrelevant. It is being one- and multiple-track minded simultaneously.
Example do demonstrate role based interfaces IVE examples
Classes should have a single responsibility or jobDevelopers should have that job in mind when they work on a classA developer should easily be able to write a block comment at the top of a class identifying its job.That comment should not have the word AND in it.As architects and leads we should be able to ask this question.. Whats the job of this class? a developer should always have this job in mind use intuitive and simple names remember! no conjunctions (ANDS)
When a single change to a program results in a cascade of changes to dependent modules, that program exhibits the undesirable attributes that we have come to associate with “bad” design. The program becomes fragile, rigid, unpredictable and unreusable. The open closed principle attacks this in a very straightforward way. It says that you should design modules that never change. When requirements change, you extend the behavior of suchmodules by adding new code, not by changing old code that already works.
When a single change to a program results in a cascade of changes to dependent modules, that program exhibits the undesirable attributes that we have come to associate with “bad” design. The program becomes fragile, rigid, unpredictable and unreusable. The open closed principle attacks this in a very straightforward way. It says that you should design modules that never change. When requirements change, you extend the behavior of suchmodules by adding new code, not by changing old code that already works.1. They are “Open For Extension”.This means that the behavior of the module can be extended. That we can make the module behave in new and different ways as the requirements of the application change, or to meet the needs of new applications.2. They are “Closed for Modification”.The source code of such a module is inviolate. No one is allowed to make sourcecode changes to it.It would seem that these two attributes are at odds with each other. The normal way to extend the behavior of a module is to make changes to that module. A module that cannot be changed is normally thought to have a fixed behavior. How can these two opposing attributes be resolved?
The abstractions are abstract base classes, and the unbounded group of possible behaviors is represented by all the possible derivative classes.It is possible for a module to manipulate an abstraction. Such a module can be closed for modification since it depends upon anabstraction that is fixed. Yet the behavior of that module can be extended by creating new derivatives of the abstraction.Figure 1 shows a simple design that does not conform to the open-closed principle.Both the Client and Server classes are concrete. There is no guarantee that the member functions of the Server class are virtual. The Client class uses the Server class.If we wish for a Client object to use a different server object, then the Client class must be changed to name the new server class.
Figure 2 shows the corresponding design that conforms to the open-closed principle.In this case, the AbstractServer class is an abstract class with pure-virtual member functions. the Client class uses this abstraction. However objects of the Client class will be using objects of the derivative Server class. If we want Client objects to use a different server class, then a new derivative of the AbstractServer class can be created. The Client class can remain unchanged.
The importance of this principle becomes obvious when you consider the consequences of violating it. If there is a function which does not conform to the LSP, then that function uses a pointer or reference to a base class, but must know about all the derivatives of that base class. Such a function violates the Open-Closed principle because it must be modified whenever a new derivative of the base class is created.There is a strong relationship between the LSP and the concept of Design by Contract as expounded by Bertrand Meyer2.