This release is a big step forward. One new feature, a few small fixes and a lot of code improvements that gives us a much cleaner and more uniform API, better test coverage and lower overall complexity.

But a new API also means we had to break backward compatibility to achieve something that the existing API would not allow since it had a separation of report and export mode: you can now reuse an import that already ran to create both reports and exports from it without redoing the import. This is a considerable speed-up (and we call the project OpenFastTrace for a reason. Runtime efficiency was and will always be one of our main design principles.

You can find examples of how to use the API in the user guide and in OFTs own code of course.

Thanks to Christoph for his patience during his review of the giant change set that the API rework caused!

Enjoy the new and improved API.

Happy tracing.

Today we released version 0.4.0 of the OpenFastTrace Gradle plugin. This is the first version that can be considered production ready. It was successfully integrated into a real life commercial project using the following features:

• Software architecture design (Swad) imported as a dependency from a maven repository
• Software detailed design (Swdd) written in MarkDown
• Coverage tags in code (long format) for item types src, utest and stest
• Filter requirements from Swad, Swdd and Code using a artifact type filter
• Filter Swad requirements relevant for the project using a tag filter
• Generate a tracing report in text format containing failure details
• Additionally to the report we export the requirements in Specobject format that can be delivered to integration for creating an overall tracing report

Only minor adaptions were required and OFT works in parallel to the proprietary tracing tool. It is just must faster 😉

To see how you can integrate the OFT Gradle plugin into your project have a look at the example projects.

Starting today we will provide a growing set of Eclipse templates to help speed-up writing OpenFastTrace specifications using the Eclipse IDE. Using these templates also has the nice side-effect of reducing the chance for errors when writing specifications.

Find the templates here: https://github.com/itsallcode/openfasttrace-eclipse-templates

Today Christoph and me released version 1.1.0 of OpenFastTrace. The most notable feature addition is that you now can opt to keep specification items without tags when configuring the tag filter.

Release letters are useful. No doubt about that.

They are the go-to place for users who want to know what’s new in a software release.

Granted that information is already available in your projects ticket system but you can’t expect your users to dig through tickets just to be up-to-date.

So you duplicate information. Which is unsatisfying because it creates coupling:

• You copy information from the features and bug fixes from the tickets
• You add links to the ticket system
• You copy the version number
• and you should not forget to enter the right release date shortly before you release

In some of our commercial projects we had this process automated to a high degree. The only thing really missing was translating the tech talk from the tickets into short descriptions that are helpful for your users.

We need to reach that point.

 

We already publish openfasttrace to JCenter, see openfasttrace distribution. Using libraries from JCenter in a Gradle build only requires adding repositories { jcenter() } to your build.gradle.

You can do the same with maven by adding the following to your pom.xml:

<repositories>
  <repository>
    <id>central</id>
    <name>bintray</name>
    <url>http://jcenter.bintray.com</url>
  </repository>
</repositories>

But we want to make it even easier for maven users by publishing our artifacts to the Maven Central repository which maven uses by default.

The easiest way to publish to Maven Central is synchronization via bintray. The setup process is not trivial, so I want to share my experience.

1. Apply for a repository for your organisation (in our case: org.itsallcode)
2. Optionally generate a gpg key without password and upload it to bintray. As an alternative you can also use bintray’s key.
3. Configure your bintray maven repository to automatically sign uploaded files
4. Make sure your project conforms to Maven Central’s quality requirements:
   1. Your pom.xml must contain information about the project license and developers (elements <licenses> and <developers>)
   2. Publish the source code by adding this to your pom.xml:

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-source-plugin</artifactId>
        <version>3.0.1</version>
        <executions>
          <execution>
            <id>attach-sources</id>
            <goals>
              <goal>jar</goal>
            </goals>
          </execution>
        </executions>
      </plugin>

   3. Publish javadoc by adding this to pom.xml:

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-javadoc-plugin</artifactId>
        <version>3.0.1</version>
        <executions>
          <execution>
            <id>attach-javadocs</id>
            <goals>
              <goal>jar</goal>
            </goals>
          </execution>
        </executions>
      </plugin>

5. Now you can publish your artifacts to JCenter as usual via mvn deploy. Don’t forget to increment your version number in pom.xml.
6. The last step is to synchronize the artifacts by clicking the “Sync” button in the “Maven Central” tab in bintray. If everything was OK after some time you should see the message “Successfully synced and closed repo”.

Then it will take some time (in my case around 40 minutes) until your packages are shown in Maven Central and you can search for it. And then it will take up to two hours until you can find them at search.maven.org.

With every new project there will be a discussion whether requirement IDs should have a unique name or simply a numbering scheme.

If you look at OFT‘s specification document, you will see that we chose named IDs. The reason in our case is quite simple: we use the ID as reference in OFT’s native specification format (aka. “requirement-enhanced Markdown”) and it is a lot simpler to understand the connections between the specification items in different artifact types if you can tell by the name what the requirement ID is about. It also helps debugging.

That being said there are major drawbacks with this approach:

1. You have to think of and type an ID for every requirements
2. In large collections of requirements you might need hierarchical ID parts to make the IDs unique (like req~import.full-coverage-tag-format~1)
3. Sometimes you pick bad names and are forced to decide whether to bulk-change all documents or live with the name
4. Some tools (like Doors for example) enforce numeric IDs.

Bottom line: deciding between named and numeric IDs a task that you should think long and hard about before you start your project.

Good news is OFT supports both flavors.

PDFs are a fixed size document format, which means that they made more sense in days when PCs all had about the same video resolutions and screen geometries. But even then they were never perfect for displaying them on a screen because most are in portrait mode and monitors very seldom were. Nowadays displays especially in mobile devices come in all shapes and sizes, so fixed size formats are even more obsolete.

What PDFs excel at to the present day is a universal document exchange format for read-only documents — especially if you plan on printing them.

While specifications seldom get printed these days, they still tend to get archived  (especially PDF-A) and a universally accepted format helps. That being said, we plan to make converting OFT-native (aka. “requirement-enhanced Markdown”) easy.

The requirements are:

• Creates PDFs
• Is platform-independent
• Separates content from layout
• Customizable style (so that projects or companies can apply their corporate design)
• Based on free software

While there is nothing wrong with users replacing parts of the tool chain with proprietary choices, our reference implementation is going to be free-software only.

These are the options we are discussing so far:

HTML + CSS + HTML2PDF Renderer

This is a variant where we let a Markdown renderer Create HTML for us and use printer-centric CSS as style and layout customization method. The benefits are that you have a broad base of developers these days who know how to tweak CSS, so it is easy for them to tweak the CSS stylesheet however they need. The downside is that the quality depends mostly on how good the PDF converter is.

LaTeX 2 PDF

LaTeX makes absolutely beautiful and professional documents. There is no doubt about that. The ability to customize via macros it is only limited by the user’s imagination.

On the other hand outside of the academic world there are not so many people who have previous experience with LaTeX. Also there are a lot of dependencies involved and they differ depending on the platform.

DocBook

DocBook shares the basic concept of separation of content and style with TeX. DocBook layouts are customizable through XSLT stylesheets. The DocBook documents are XML files that have a strictly defined schema, so the content structure is not customizable like in TeX. Depending on your perspective this is either a weakness or a strength (since it enforces a uniform document format).

DocBook is also known for producing quality PDFs. And the dependencies are should be pretty homogeneous between platforms.

Popularity Contest

I tried to find numbers about the popularity of LaTeX vs. DocBook. Since non popped up right away, I went for a different approach: comparing search term popularity.

• https://trends.google.com/trends/explore?q=DocBook,%2Fm%2F04mdr

I know that the results need to be treated with a healthy dose of skepticism, since more searches could simply mean one of the two is harder to use. Also while there is only one DocBook, there is a whole bunch of TeX variants out there.

If the search term popularity is any indicating LaTeX wins this contest with flying colors.

What’s your opinion? Any arguments I missed?