This document summarizes feedback from the first part of a software engineering practical project. It discusses issues seen in student submissions, such as Java syntax errors, incomplete functionality, and problems with XML documents. It also provides examples of user interfaces and additional features students have implemented. The document encourages students to pay careful attention to instructions, use logging for development, and notes changes to the sample data file.
Awareness of design smells - indicators of common design problems - helps developers or software engineers understand mistakes made while designing and apply design principles for creating high-quality designs. This presentation provides insights gained from performing refactoring in real-world projects to improve refactoring and reduce the time and costs of managing software projects.
We want code that is easy to understand, re-usable, and flexible. But we are always up against deadlines, so we rush, and end up with code that is messy, buggy, hard to maintain, and makes us go slower even though we’re trying to go faster.
What is clean code? In this talk I’ll provide some answers to this question, and introduce you to 10 good habits that will help keep your code clean, such as the use of meaningful names for your variables and functions, and following the “Boy Scout Rule” (leave the code cleaner than you found it). I will even try to persuade you that using a lot of code comments is a sign that there are problems with your code.
Awareness of design smells - indicators of common design problems - helps developers or software engineers understand mistakes made while designing and apply design principles for creating high-quality designs. This presentation provides insights gained from performing refactoring in real-world projects to improve refactoring and reduce the time and costs of managing software projects.
We want code that is easy to understand, re-usable, and flexible. But we are always up against deadlines, so we rush, and end up with code that is messy, buggy, hard to maintain, and makes us go slower even though we’re trying to go faster.
What is clean code? In this talk I’ll provide some answers to this question, and introduce you to 10 good habits that will help keep your code clean, such as the use of meaningful names for your variables and functions, and following the “Boy Scout Rule” (leave the code cleaner than you found it). I will even try to persuade you that using a lot of code comments is a sign that there are problems with your code.
Myths In Software Engineering: Does complex code mean there will be more bugs? We have analyzed a number of bug databases (including Eclipse, Mozilla, and various Microsoft projects) and come to surprising conclusions.
Unit tests are great, they help a developer gain control over his code and catch bugs and regression issues.
Test Driven Development is a methodology that uses unit tests but it's not about writing unit tests - in fact the tests are only a design tool.
TDD is a methodology that solves problems in an iterative way, it's about emergent design that creates a maintainable solution.
In this session I'll talk about common mistakes and misconceptions, how to benefit from TDD and show how to design your code using unit tests.
The code for this talk can be found on GitHub: https://github.com/dhelper/DesignWIthTests
An introduction to Test-First Behavior-Driven Development, and acceptance testing with Gherkin, with some real-life Gherkin examples. Content created for C# code, but the principles do apply to other languages/environments.
It took me about one and a half year to update my cheat sheet about clean code and TDD.
But now, it’s here.
The cheat sheet has grown quite a bit and now contains principles, patterns, smells and guidelines for
clean code
class and package design
TDD – Test Driven Development
ATDD – Acceptance Test Driven Development
Continuous Integration
I had to re-layout the sheets because maintenance became a nightmare (yes, very ironic).
Reference: http://www.planetgeek.ch/2013/06/05/clean-code-cheat-sheet/
Presentation I held before my colleagues about the book Clean Code (http://www.amazon.com/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882).
It contains the highlights of several chapters and hint/guidelines a developer should know.
Andreas Zeller, On Impact in Software Engineering Research
Abstract: After 25 years in research, I am happy to have had some impact in Software Engineering Research - some of it on purpose, some of it accidentally. In this talk, I summarize six important lessons I have learned: Work on a real problem, assume as little as possible, keep things simple, have a sound model, keep on learning, and keep on moving.
Bio: Andreas Zeller is a full professor for Software Engineering at Saarland University in Saarbrücken, Germany, since 2001. His research concerns the analysis of large software systems and their development process. In 2010, Zeller was inducted as Fellow of the ACM for his contributions to automated debugging and mining software archives, for which he also was awarded 10-year impact awards from ACM SIGSOFT and ICSE. In 2011, he received an ERC Advanced Grant, Europe's highest and most prestigious individual research grant, for work on specification mining and test case generation. In 2013, Zeller co-founded Testfabrik AG, a start-up on automatic testing of Web applications, where he chairs the supervisory board. In 2018, he received the Outstanding Research Award from ACM SiGSOFT.
You will learn why naming is really difficult if done right, why coding and style guidelines are crucial, code structuring, exception handling and why other elements of coding often define the tipping point between success and failure of projects. Following the principles of software craftsmanship will allow you to end up with better maintainability and extensibility of your software and the success of the project in the end. All 3 Clean Code presentations provide great value by themselves, but taken together are designed to offer a holistic approach to successful software creation.
Why writing Clean Code makes us more efficient Over the lifetime of a product, maintaining the product is actually one - if not the most - expensive area(s) of the overall product costs. Writing clean code can significantly lower these costs. However, writing clean code also makes you more efficient during the initial development time and results in more stable code. You will be presented design patterns and best practices which will make you write better and more easily maintainable code, seeing code in a holistic way. You will learn how to apply them by using an existing implementation as the starting point of the presentation. Finally, patterns & practices benefits are explained.
This presentation is based on C# and Visual Studio 2013. However, the demonstrated patterns and practice can be applied to every other programming language too.
Note: Moving forwards this presentation will be updated with the latest version of the slides for the last event I did the presentation instead of creating new separate slide decks here on SlideShare.
Presentation dates and locations:
2015-06-27 SoCal Code Camp - San Diego, CA
2014-11-14 SoCal Code Camp - Los Angeles, CA
2014-10-18 Desert Code Camp - Chandler, AZ
At my talk "On Impact in Software Engineering Research", I present a number of lessons from (and for!) high-impact research:
* Work on a real problem
* Assume as little as possible
* Keep things simple
* Have a sound model
* Keep on learning
* Keep on moving
* Build prototypes
Video at https://youtu.be/md4Fp3Pro0o
Andreas Zeller is faculty at the CISPA Helmholtz Center for Information Security and professor for Software Engineering at Saarland University, both in Saarbrücken, Germany. His research on automated debugging, mining software archives, specification mining, and security testing has won several awards for its impact in academia and industry. Zeller is an ACM Fellow, an IFIP Fellow, an ERC Advanced Grant Awardee, and holds an ACM SIGSOFT Outstanding Research Award.
2015.01.09 - Writing Modern Applications for Mobile and WebMarco Parenzan
Traditional programming is quite old (60+ years)
Object Oriented Programming is not so old, but old enough (35+ years)
We can say that OOP is able to satisfy our needs of Modern programming
Modern is not about modern programming principles and paradigms
Modern is about current scenarios in which our programming abilities have to be spent these days
Just 10 years ago (in 2K years) we were focusing on something else
Modern Programming for about modern programming challenges:
- Cloud
- Big Data
- Mobile and Devices
- Internet of Things
Principles
- Application Lifecycle Management
- Scrum
- Maintainable Code
Imperative Modeling
- Don’t tell what you want to do: just do it!
Responsibility Modeling
- Why are you coding? Which is the intention inside every line you write?
Functional Modeling
- Declare what you need! I’ll implement it!
Object Modeling
- Classes are the way to describe model into a domain
Contract Modeling
- Class is not just encapsulation. It’s also declaration of a contract
Interface Modeling
- Class should be implementation only. Interfaces are a better way to describe a contract
Three tier Modeling
- An Architectural model for an application
“Blueprints” Modeling
- Feel free to express yourself…or not? Please refer to some work done by experts!
“No more One” Modeling
- One model DOES NOT FITS for all. Multiple models are needed to single aspects of an application
Awareness of design smells - indicators of common design problems - helps developers or software engineers understand mistakes made while designing and apply design principles for creating high-quality designs. This tech talk provides insights gained from performing refactoring in real-world projects to improve refactoring and reduce the time and costs of managing software projects. The tech talk also presents insightful anecdotes and case studies drawn from the trenches of real-world projects. By attending this tech talk, you will know pragmatic techniques for refactoring design smells to manage technical debt and to create and maintain high-quality software in practice.
Contents overview:
* Why care about design principles, design quality, or design smells?
* Refactoring as the primary means for repaying technical debt
* Smells that violate abstraction, encapsulation, modularisation, or hierarchy
* Tools and techniques for refactoring
All 3 Clean Code presentations provide great value by themselves, but taken together are designed to offer a holistic approach to successful software creation. This first session creates the foundation for the 2nd and 3rd Clean Code presentation on Dependency Injection, as it explains expected base knowledge. Why writing Clean Code makes us more efficient Over the lifetime of a product, maintaining the product is actually one - if not the most - expensive area(s) of the overall product costs.
We will dive into the basics of Inversion of Control (IOC) and Dependency Injection (DI) to review different ways of achieving decoupling, using and exploring both: Best Practices, Design and Anti Patterns. This presentation requires knowledge and understanding of basics like DRY, SoC, SRP, SOLID etc. which are building the base for decoupled architecture. However, we will start at the basics of DI and will work towards intermediate and advanced scenarios depending on the participating group.
This presentation is based on C# and Visual Studio 2013. However, the demonstrated patterns and practice can be applied to every other programming language too.
Note: Moving forwards this presentation will be updated with the latest version of the slides for the last event I did the presentation instead of creating new separate slide decks here on SlideShare.
Presentation dates and locations:
2015-10-03 Silicon Valley Code Camp, San Jose, CA
2015-06-27 SoCal Code Camp - San Diego, CA
2015-06-25 Bay.NET South Bay, Mountain View, CA
2014-11-14 SoCal Code Camp - Los Angeles, CA
2014-10-11 Silicon Valley Code Camp, Los Altos Hills, CA
What does it take to have high impact in software engineering research? Andreas Zeller, a "high impact" SE researcher, shares his personal story and perspective.
How do you make your research impactful? How do you get towards your book, your tool, your algorithm? Andreas Zeller shares lessons learned in his career.
Developing software often requires using a number of tools and languages. In embedded software, for example, it is common to use C and its IDE, Matlab/Simulink, a number of custom XML files, a requirements management tool such as DOORS and possibly a UML tool and a variant management tool. The integration of such a zoo of tools is often a major source of (accidental) complexity in development projects.
Contrast that with the "good old days" when everything was text files and command line executables running on the unix shell. This approach had two important properties: the infrastructure was extremely generic (unix shell, pipes, text editors) and the actual contents were easily extensible and composable (new text file formats/languages and new command line tools); a productive environment for a given project or domain could easily be built from the generic infrastructure plus a few custom extensions.
In this talk I want to propose that creating (domain-specific) development environments based on language workbenches results in many of the same advantages that we all valued in the unix shell-world. A language workbench is an extremely generic infrastructure that is easily extensible with new languages. It is easy to create domain-specific development tools that can address different aspects of the system with suitable abstractions, but are nonetheless very well integrated in terms of semantics and tooling.
En este taller profundizaremos en el lenguaje de programación Swift. Swift une la potencia de lenguajes como C++ y la sencillez de un lenguaje de script. Según wired.com, tendrá la adopción masiva más rápida de la historia.
Myths In Software Engineering: Does complex code mean there will be more bugs? We have analyzed a number of bug databases (including Eclipse, Mozilla, and various Microsoft projects) and come to surprising conclusions.
Unit tests are great, they help a developer gain control over his code and catch bugs and regression issues.
Test Driven Development is a methodology that uses unit tests but it's not about writing unit tests - in fact the tests are only a design tool.
TDD is a methodology that solves problems in an iterative way, it's about emergent design that creates a maintainable solution.
In this session I'll talk about common mistakes and misconceptions, how to benefit from TDD and show how to design your code using unit tests.
The code for this talk can be found on GitHub: https://github.com/dhelper/DesignWIthTests
An introduction to Test-First Behavior-Driven Development, and acceptance testing with Gherkin, with some real-life Gherkin examples. Content created for C# code, but the principles do apply to other languages/environments.
It took me about one and a half year to update my cheat sheet about clean code and TDD.
But now, it’s here.
The cheat sheet has grown quite a bit and now contains principles, patterns, smells and guidelines for
clean code
class and package design
TDD – Test Driven Development
ATDD – Acceptance Test Driven Development
Continuous Integration
I had to re-layout the sheets because maintenance became a nightmare (yes, very ironic).
Reference: http://www.planetgeek.ch/2013/06/05/clean-code-cheat-sheet/
Presentation I held before my colleagues about the book Clean Code (http://www.amazon.com/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882).
It contains the highlights of several chapters and hint/guidelines a developer should know.
Andreas Zeller, On Impact in Software Engineering Research
Abstract: After 25 years in research, I am happy to have had some impact in Software Engineering Research - some of it on purpose, some of it accidentally. In this talk, I summarize six important lessons I have learned: Work on a real problem, assume as little as possible, keep things simple, have a sound model, keep on learning, and keep on moving.
Bio: Andreas Zeller is a full professor for Software Engineering at Saarland University in Saarbrücken, Germany, since 2001. His research concerns the analysis of large software systems and their development process. In 2010, Zeller was inducted as Fellow of the ACM for his contributions to automated debugging and mining software archives, for which he also was awarded 10-year impact awards from ACM SIGSOFT and ICSE. In 2011, he received an ERC Advanced Grant, Europe's highest and most prestigious individual research grant, for work on specification mining and test case generation. In 2013, Zeller co-founded Testfabrik AG, a start-up on automatic testing of Web applications, where he chairs the supervisory board. In 2018, he received the Outstanding Research Award from ACM SiGSOFT.
You will learn why naming is really difficult if done right, why coding and style guidelines are crucial, code structuring, exception handling and why other elements of coding often define the tipping point between success and failure of projects. Following the principles of software craftsmanship will allow you to end up with better maintainability and extensibility of your software and the success of the project in the end. All 3 Clean Code presentations provide great value by themselves, but taken together are designed to offer a holistic approach to successful software creation.
Why writing Clean Code makes us more efficient Over the lifetime of a product, maintaining the product is actually one - if not the most - expensive area(s) of the overall product costs. Writing clean code can significantly lower these costs. However, writing clean code also makes you more efficient during the initial development time and results in more stable code. You will be presented design patterns and best practices which will make you write better and more easily maintainable code, seeing code in a holistic way. You will learn how to apply them by using an existing implementation as the starting point of the presentation. Finally, patterns & practices benefits are explained.
This presentation is based on C# and Visual Studio 2013. However, the demonstrated patterns and practice can be applied to every other programming language too.
Note: Moving forwards this presentation will be updated with the latest version of the slides for the last event I did the presentation instead of creating new separate slide decks here on SlideShare.
Presentation dates and locations:
2015-06-27 SoCal Code Camp - San Diego, CA
2014-11-14 SoCal Code Camp - Los Angeles, CA
2014-10-18 Desert Code Camp - Chandler, AZ
At my talk "On Impact in Software Engineering Research", I present a number of lessons from (and for!) high-impact research:
* Work on a real problem
* Assume as little as possible
* Keep things simple
* Have a sound model
* Keep on learning
* Keep on moving
* Build prototypes
Video at https://youtu.be/md4Fp3Pro0o
Andreas Zeller is faculty at the CISPA Helmholtz Center for Information Security and professor for Software Engineering at Saarland University, both in Saarbrücken, Germany. His research on automated debugging, mining software archives, specification mining, and security testing has won several awards for its impact in academia and industry. Zeller is an ACM Fellow, an IFIP Fellow, an ERC Advanced Grant Awardee, and holds an ACM SIGSOFT Outstanding Research Award.
2015.01.09 - Writing Modern Applications for Mobile and WebMarco Parenzan
Traditional programming is quite old (60+ years)
Object Oriented Programming is not so old, but old enough (35+ years)
We can say that OOP is able to satisfy our needs of Modern programming
Modern is not about modern programming principles and paradigms
Modern is about current scenarios in which our programming abilities have to be spent these days
Just 10 years ago (in 2K years) we were focusing on something else
Modern Programming for about modern programming challenges:
- Cloud
- Big Data
- Mobile and Devices
- Internet of Things
Principles
- Application Lifecycle Management
- Scrum
- Maintainable Code
Imperative Modeling
- Don’t tell what you want to do: just do it!
Responsibility Modeling
- Why are you coding? Which is the intention inside every line you write?
Functional Modeling
- Declare what you need! I’ll implement it!
Object Modeling
- Classes are the way to describe model into a domain
Contract Modeling
- Class is not just encapsulation. It’s also declaration of a contract
Interface Modeling
- Class should be implementation only. Interfaces are a better way to describe a contract
Three tier Modeling
- An Architectural model for an application
“Blueprints” Modeling
- Feel free to express yourself…or not? Please refer to some work done by experts!
“No more One” Modeling
- One model DOES NOT FITS for all. Multiple models are needed to single aspects of an application
Awareness of design smells - indicators of common design problems - helps developers or software engineers understand mistakes made while designing and apply design principles for creating high-quality designs. This tech talk provides insights gained from performing refactoring in real-world projects to improve refactoring and reduce the time and costs of managing software projects. The tech talk also presents insightful anecdotes and case studies drawn from the trenches of real-world projects. By attending this tech talk, you will know pragmatic techniques for refactoring design smells to manage technical debt and to create and maintain high-quality software in practice.
Contents overview:
* Why care about design principles, design quality, or design smells?
* Refactoring as the primary means for repaying technical debt
* Smells that violate abstraction, encapsulation, modularisation, or hierarchy
* Tools and techniques for refactoring
All 3 Clean Code presentations provide great value by themselves, but taken together are designed to offer a holistic approach to successful software creation. This first session creates the foundation for the 2nd and 3rd Clean Code presentation on Dependency Injection, as it explains expected base knowledge. Why writing Clean Code makes us more efficient Over the lifetime of a product, maintaining the product is actually one - if not the most - expensive area(s) of the overall product costs.
We will dive into the basics of Inversion of Control (IOC) and Dependency Injection (DI) to review different ways of achieving decoupling, using and exploring both: Best Practices, Design and Anti Patterns. This presentation requires knowledge and understanding of basics like DRY, SoC, SRP, SOLID etc. which are building the base for decoupled architecture. However, we will start at the basics of DI and will work towards intermediate and advanced scenarios depending on the participating group.
This presentation is based on C# and Visual Studio 2013. However, the demonstrated patterns and practice can be applied to every other programming language too.
Note: Moving forwards this presentation will be updated with the latest version of the slides for the last event I did the presentation instead of creating new separate slide decks here on SlideShare.
Presentation dates and locations:
2015-10-03 Silicon Valley Code Camp, San Jose, CA
2015-06-27 SoCal Code Camp - San Diego, CA
2015-06-25 Bay.NET South Bay, Mountain View, CA
2014-11-14 SoCal Code Camp - Los Angeles, CA
2014-10-11 Silicon Valley Code Camp, Los Altos Hills, CA
What does it take to have high impact in software engineering research? Andreas Zeller, a "high impact" SE researcher, shares his personal story and perspective.
How do you make your research impactful? How do you get towards your book, your tool, your algorithm? Andreas Zeller shares lessons learned in his career.
Developing software often requires using a number of tools and languages. In embedded software, for example, it is common to use C and its IDE, Matlab/Simulink, a number of custom XML files, a requirements management tool such as DOORS and possibly a UML tool and a variant management tool. The integration of such a zoo of tools is often a major source of (accidental) complexity in development projects.
Contrast that with the "good old days" when everything was text files and command line executables running on the unix shell. This approach had two important properties: the infrastructure was extremely generic (unix shell, pipes, text editors) and the actual contents were easily extensible and composable (new text file formats/languages and new command line tools); a productive environment for a given project or domain could easily be built from the generic infrastructure plus a few custom extensions.
In this talk I want to propose that creating (domain-specific) development environments based on language workbenches results in many of the same advantages that we all valued in the unix shell-world. A language workbench is an extremely generic infrastructure that is easily extensible with new languages. It is easy to create domain-specific development tools that can address different aspects of the system with suitable abstractions, but are nonetheless very well integrated in terms of semantics and tooling.
En este taller profundizaremos en el lenguaje de programación Swift. Swift une la potencia de lenguajes como C++ y la sencillez de un lenguaje de script. Según wired.com, tendrá la adopción masiva más rápida de la historia.
Common Java problems when developing with AndroidStephen Gilmore
For some, developing for the Android platform might provide their first experience of working with a complex, modern Java API. This may test your knowledge of the Java programming language, especially with regard to features such as generics. The Android APIs make use of generics throughout and so you will have to know how to create and handle generic classes.
Although the signs were out there in the open, the introduction of Swift was one of the big surprises of WWDC 2014. In this talk, I've outlined the reasonings why a 30yo language is being phased out and the main improvements introduced in Swift as well as Xcode 6.
Objective-C Crash Course for Web DevelopersJoris Verbogt
These are the slides of my SXSW 2010 Objective-C Crash Course for Web Developers.
The code samples (and the keynote document) can also be downloaded from http://workshop.verbogt.nl/
Swift is the latest new programming language for iOS and OS X apps that builds on the best of C and Objective-C, without the constraints of C compatibility.
Swift Summit: Pushing the boundaries of Swift to the ServerChris Bailey
Swift is a robust language for mobile but cloud development opens the door to new opportunities for today's top app developers. Integrating projects to backend systems can sometimes be problematic, requiring new tools and skills. It doesn't have to be; end-to-end Swift opens the door to radically simpler app dev so we can all focus on the engagement. This session will describe the work that's been done to bring Swift to the server, both in terms of efforts in the Swift.org projects, and with implementation of server frameworks, and show you how you can quickly create and deploy applications with both server and client components.
Presented at the Swift Summit, Nov 7th 2016
This presentation shows the basic architecture of a plug-in framework using reflection in Microsoft .NET Framework. .NET reflection allows one to find out information about the types in programs or other assemblies in .NET, and also to read other metadata. Other then obtaining information, the power behind reflection mechanism is that it allows dynamic instantiation of the type discovered into a concrete object. We will show you how you can leverage on the features of reflection to simplify the process of developing a working plug-in framework for your application,
Cloud Native Debugging in Production - Dig Deep into your agentsShai Almog
Talk given at HashiTalks 2022 by Shai Almog:
Learn how continuous observability helps us go beyond the limits of AMS, Logs and other observability tools. Solve real world problems at scale in production in polyglot highly distributed environments such as Nomad, K8S etc. with this free solution.
What's New in Entity Framework 4, by Julie LermanJulie Lerman
Programming Entity Framework author, Julie Lerman, reviews the new features coming to Entity Framework in the VIsual Studio 2010/.NET 4.0 release. Watch for the 2nd Edition of her book in early 2010. This presentation is based on the Beta 1 of VS2010 and .NET 4.0.
Jira has it all that it takes to be a versatile project management tool. It is easy to learn, keeps up to date with the latest Agile trends and certainly, much less-expensive as a bug tracking and project management tool. By adopting Jira for business projects, enterprises can get an opportunity to become agile, if they are not so already.
Create Software Design with unit testing, build user experience with UX testing, check definition of done with functional testing – all these are my day-to-day activities. Indeed, I am a developer who has found the value of testing to deliver quality software.
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You will see practical examples of how tools like Jasmine, Spock, Geb are used for the above types of tests. You will see a project with test code and we will discuss how testing can effectively enhance your professional performance.
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Feedback on Part 1 of the Software Engineering Large Practical
1. Software Engineering Large Practical
Feedback on Part 1 of the Practical
Stephen Gilmore
School of Informatics, University of Edinburgh
November 7th, 2012
Stephen Gilmore Software Engineering Large Practical
2. About Practical 1
There are 19 people taking the Software Engineering Large
Practical. There were 14 submissions, and 5 non-submisisons.
The submissions have been marked and comments returned.
The submissions varied widely.
Some project submissions contained Java syntax errors and
failed to compile. Some generated warnings. Some generated
neither errors nor warnings.
Some submissions had only limited functionality (e.g. a login
screen). Some read the XML document from the server. Some
created a database.
Some looked more more like a submission for Part 2 than
Part 1.
Stephen Gilmore Software Engineering Large Practical
3. Lessons learnt
Discovered a bug in the “submit” command which is now
being fixed.
Discovered an underspecification in the practical description,
which should explain that we are using Java 1.6 and that Java
1.7 language features are not available (such as strings in
switch statements).
Stephen Gilmore Software Engineering Large Practical
4. Point of this lecture
Give feedback on the submissions generally, rather than
individually.
Allow you to get a sense of where you are in the class.
See examples of some app designs.
Consider additional features which you might like to
implement.
Stephen Gilmore Software Engineering Large Practical
5. Java and XML problems, warnings and errors
Errors and warnings encountered are listed here.
These included syntax errors in Java (e.g. missing
semi-colons) and semantic errors (such as “variable not
declared” errors).
Some XML documents were ill-formed (e.g. not a single root
element).
Many uses of generics were not complete, and led to “raw
types”.
Many imports were never used. Some variables were not used.
Stephen Gilmore Software Engineering Large Practical
14. Java problems: Java 1.5/Java 1.6 incompatibility
ng
Stephen Gilmore Software Engineering Large Practical
15. User interfaces in development
Some submissions had more user interface code than others.
Some had working buttons, menus and textboxes.
Stephen Gilmore Software Engineering Large Practical
16. Blank screen
png
Stephen Gilmore Software Engineering Large Practical
17. Alpha version of interface: setting matriculation number
png shot 2012-10-30 at 09.35.44.png
Stephen Gilmore Software Engineering Large Practical
18. Interface and settings
png shot 2012-10-30 at 10.14.54.png
Stephen Gilmore Software Engineering Large Practical
19. Interface of alpha version
png shot 2012-10-30 at 13.26.38.png
Stephen Gilmore Software Engineering Large Practical
20. Entering a student number
png shot 2012-10-30 at 14.04.56.png
Stephen Gilmore Software Engineering Large Practical
21. Candidate lists in development
Some submissions were able to retrieve the candidate list from
the server and display this.
Some submissions just listed the names of the candidates.
Some included election statements.
Some included photographs of the candidates.
Stephen Gilmore Software Engineering Large Practical
22. Interace of alpha version — listing candidates
png shot 2012-10-30 at 15.21.16.png
Stephen Gilmore Software Engineering Large Practical
23. Listing candidates
png shot 2012-10-31 at 13.23.00.png
Stephen Gilmore Software Engineering Large Practical
24. Sign-in screen — candidates listed
png shot 2012-10-30 at 15.47.56.png
Stephen Gilmore Software Engineering Large Practical
25. Logging in and viewing candidates
png shot 2012-10-30 at 14.46.34.png
Stephen Gilmore Software Engineering Large Practical
26. Viewing candidates by category
png shot 2012-10-30 at 14.31.32.png
Stephen Gilmore Software Engineering Large Practical
27. Additional features in development
The application requires you to retrieve an XML document
from the server.
We can’t be sure that this will always succeed. What if we
have no network connection?
Stephen Gilmore Software Engineering Large Practical
28. Dealing with network connection issues
png shot 2012-10-30 at 14.34.25.png
Stephen Gilmore Software Engineering Large Practical
29. Going further: rating, deleting, and sending tweets
The other functions required by the app include rating
favoured candidates, deleting unfavoured candidates, sending
email and sending tweets.
Stephen Gilmore Software Engineering Large Practical
30. Candidates selected and rated
png shot 2012-10-30 at 15.21.40.png
Stephen Gilmore Software Engineering Large Practical
31. Rating a candidate and sending a tweet
png shot 2012-10-31 at 13.24.17.png
Stephen Gilmore Software Engineering Large Practical
32. Viewing details and rating candidates
png shot 2012-10-30 at 14.47.10.png
Stephen Gilmore Software Engineering Large Practical
33. Deleting a candidate
png shot 2012-10-30 at 14.47.52.png
Stephen Gilmore Software Engineering Large Practical
34. Database contents
Stephen Gilmore Software Engineering Large Practical
36. Database
Stephen Gilmore Software Engineering Large Practical
37. Examples of good practice
Adding logging to your app early helps you to develop it
because it gives you a deeper understanding of how your app
is working and what is not working.
You are asked to add logging to your app so why not start
now and reap the benefits?
Stephen Gilmore Software Engineering Large Practical
38. Logging: It’s great! Look how helpful it is.
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Stephen Gilmore Software Engineering Large Practical
39. Logging: why not start now? Seriously, it’s great.
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Stephen Gilmore Software Engineering Large Practical
40. Closing remarks
When implementing your app you should pay careful attention
to the instructions in the practical handout which you received
at the start of the course.
You also have now available a sample XML file with data on
the candidates in the election. Note that this is only a sample,
and not a template.
For example, all of the candidates in the sample XML file had
made three promises but this is not specified by the
regulations so it would be possible for candidates to make
more promises, or fewer.
Stephen Gilmore Software Engineering Large Practical
41. XML Update: new candidate added, with more promises
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Stephen Gilmore Software Engineering Large Practical
42. End of course lectures
Good luck!
Stephen Gilmore Software Engineering Large Practical