Why consider using Guava-like Libraries for API Contract Conditions Checks

This article represents a perspective on why one should consider using Pre/Post condition checks libraries rather than writing it down time and again in their code.
While doing code reviews, many a times, I have found people using preconditions checks such as “Not Null” in a casual manner rather than based on API contracts requiring pre and post conditions checks. Such checks, at times,  do make code difficult to read, learn or understand. One may want to rather use home-grown or external (proven ones) libraries for doing such checks. Not only does it enhance code readability and learn-ability but also, it does make you aware of contracts you put in the code thereby including only necessary checks and, hence, cleaner code.
Sample Code representing usage of Libraries vis-a-vis Traditional Code Checks
Consider code snippets such as following:
//
// In traditional manner
//
if (id == null) {
throw new NullPointerException(“Id can’t be null”);
}
//
// Using Preconditions API;
//
Preconditions.checkNotNull(id, “Id can’t be null”); // Google Guava Preconditions API
Assert.notNull(id, “Id can’t be null”); // Spring framework Assert API
Validate.notNull(id, “Id can’t be null”); // Apache Commons Validate API
Contract.Requires<NullReferenceException>(id != null, “Id can’t be null”); // Code Contracts .NET framework
Java/.NET Libraries for Pre/Post conditions Checks
Above considers some of the popular libraries which are mentioned below:
Top 4 Code Checks for which Pre/Post Conditions Libraries could be used
Following are top 4 (most common ones) traditional checks found across source code. The code usability gets a booster if one makes use of pre/post conditions API:
  1. Check for validation of methods’ arguments.  Throws exception such as IllegalArgumantException or the equivalent upon failure.
  2. Check whether a specific value is not null.  Throws exception such as NullPointerException or the equivalent upon failure.
  3. Check state of the object.  Throws exception such as IllegalStateException or the equivalent upon failure
  4. Check whether the index is a valid element or position index into a list, string, or array with the specified size. An element index may range from 0 inclusive to size exclusive. Throws exception such as IndexOutOfBoundsException or the equivalent upon failure
Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Recent Posts

Agentic Reasoning Design Patterns in AI: Examples

In recent years, artificial intelligence (AI) has evolved to include more sophisticated and capable agents,…

3 weeks ago

LLMs for Adaptive Learning & Personalized Education

Adaptive learning helps in tailoring learning experiences to fit the unique needs of each student.…

4 weeks ago

Sparse Mixture of Experts (MoE) Models: Examples

With the increasing demand for more powerful machine learning (ML) systems that can handle diverse…

4 weeks ago

Anxiety Disorder Detection & Machine Learning Techniques

Anxiety is a common mental health condition that affects millions of people around the world.…

1 month ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of…

1 month ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit…

1 month ago