eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

Get started with mocking and improve your application tests using our Mockito guide:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

Get started with Spring Data JPA through the guided reference course:

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

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Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – Diagrid – NPI EA (cat= Testing)
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In distributed systems, managing multi-step processes (e.g., validating a driver, calculating fares, notifying users) can be difficult. We need to manage state, scattered retry logic, and maintain context when services fail.

Dapr Workflows solves this via Durable Execution which includes automatic state persistence, replaying workflows after failures and built-in resilience through retries, timeouts and error handling.

In this tutorial, we'll see how to orchestrate a multi-step flow for a ride-hailing application by integrating Dapr Workflows and Spring Boot:

>> Dapr Workflows With PubSub

1. Overview

Strings commonly contain a mixture of words and other delimiters. Sometimes, these strings may delimit words by a change in the case without whitespace. For example, the camel case capitalizes each word after the first, and the title case (or Pascal case) capitalizes every word.

We may wish to parse these strings back into words in order to process them.

In this short tutorial, we’ll look at how to find the words in mixed case strings using regular expressions, and how to convert them into sentences or titles.

2. Use Cases for Parsing Capitalized Strings

A common use case for processing camel case strings might be the field names in a document. Let’s say a document has a field “firstName” – we may wish to display that on-screen as “First name” or “First Name”.

Similarly, if we were to scan the types or functions in our application via reflection, in order to produce reports using their names, we would commonly find camel case or title case identifiers that we may wish to convert.

An extra problem we need to solve when parsing these expressions is that single-letter words cause consecutive capital letters.

For clarity:

  • thisIsAnExampleOfCamelCase
  • ThisIsTitleCase
  • thisHasASingleLetterWord

Now that we know the sorts of identifiers we need to parse, let’s use a regular expression to find the words.

3. Find Words Using Regular Expressions

3.1. Defining a Regular Expression to Find Words

Let’s define a regular expression to locate words that are either made of lowercase letters only, a single uppercase letter followed by lowercase letters, or a single uppercase letter on its own:

Pattern WORD_FINDER = Pattern.compile("(([A-Z]?[a-z]+)|([A-Z]))");

This expression provides the regular expression engine with two options. The first uses “[A-Z]?” to mean “an optional first capital letter” and then “[a-z]+” to mean “one or more lowercase letters”. After that, there’s the “|” character to provide or logic, followed by the expression “[A-Z]”, which means “a single capital letter”.

Now that we have the regular expression, let’s parse our strings.

3.2. Finding Words in a String

We’ll define a method to use this regular expression:

public List<String> findWordsInMixedCase(String text) {
    Matcher matcher = WORD_FINDER.matcher(text);
    List<String> words = new ArrayList<>();
    while (matcher.find()) {
        words.add(matcher.group(0));
    }
    return words;
}

This uses the Matcher created by the regular expression’s Pattern to help us find the words. We iterate over the matcher while it still has matches, adding them to our list.

This should extract anything that meets our word definition. Let’s test it.

3.3. Testing the Word Finder

Our word finder should be able to find words that are separated by any non-word characters, as well as by changes in the case. Let’s start with a simple example:

assertThat(findWordsInMixedCase("some words"))
  .containsExactly("some", "words");

This test passes and shows us that our algorithm is working. Next, we’ll try the camel case:

assertThat(findWordsInMixedCase("thisIsCamelCaseText"))
  .containsExactly("this", "Is", "Camel", "Case", "Text");

Here we see that the words are extracted from a camel case String and come out with their capitalization unchanged. For example, “Is” started with a capital letter in the original text, and is capitalized when extracted.

We can also try this with title case:

assertThat(findWordsInMixedCase("ThisIsTitleCaseText"))
  .containsExactly("This", "Is", "Title", "Case", "Text");

Plus, we can check that single letter words are extracted as we intended:

assertThat(findWordsInMixedCase("thisHasASingleLetterWord"))
  .containsExactly("this", "Has", "A", "Single", "Letter", "Word");

So far, we’ve built a word extractor, but these words are capitalized in a way that may not be ideal for output.

4. Convert Word List to Human Readable Format

After extracting a list of words, we probably want to use methods like toUpperCase or toLowerCase to normalize them. Then we can use String.join to join them back into a single string with a delimiter. Let’s look at a couple of ways to achieve real-world use cases with these.

4.1. Convert to Sentence

Sentences start with a capital letter and end in a period“.”. We’re going to need to be able to make a word start with a capital letter:

private String capitalizeFirst(String word) {
    return word.substring(0, 1).toUpperCase()
      + word.substring(1).toLowerCase();
}

Then we can loop through the words, capitalizing the first, and making the others lowercase:

public String sentenceCase(List<String> words) {
    List<String> capitalized = new ArrayList<>();
    for (int i = 0; i < words.size(); i++) {
        String currentWord = words.get(i);
        if (i == 0) {
            capitalized.add(capitalizeFirst(currentWord));
        } else {
            capitalized.add(currentWord.toLowerCase());
        }
    }
    return String.join(" ", capitalized) + ".";
}

The logic here is that the first word has its first character capitalized, and the rest are in lowercase. We join them with a space as the delimiter and add a period in the end.

Let’s test this out:

assertThat(sentenceCase(Arrays.asList("these", "Words", "Form", "A", "Sentence")))
  .isEqualTo("These words form a sentence.");

4.2. Convert to Title Case

Title case has slightly more complex rules than a sentence. Each word must have a capital letter, unless it’s a special stop word that isn’t normally capitalized. However, the whole title must start with a capital letter.

We can achieve this by defining our stop words:

Set<String> STOP_WORDS = Stream.of("a", "an", "the", "and", 
  "but", "for", "at", "by", "to", "or")
  .collect(Collectors.toSet());

After this, we can modify the if statement in our loop to capitalize any word that’s not a stop word, as well as the first:

if (i == 0 || 
  !STOP_WORDS.contains(currentWord.toLowerCase())) {
    capitalized.add(capitalizeFirst(currentWord));
 }

The algorithm to combine the words is the same, though we don’t add the period in the end.

Let’s test it out:

assertThat(capitalizeMyTitle(Arrays.asList("title", "words", "capitalize")))
  .isEqualTo("Title Words Capitalize");

assertThat(capitalizeMyTitle(Arrays.asList("a", "stop", "word", "first")))
  .isEqualTo("A Stop Word First");

5. Conclusion

In this short article, we looked at how to find the words in a String using a regular expression. We saw how to define this regular expression to find different words using capitalization as a word boundary.

We also looked at some simple algorithms for taking a list of words and converting them into the correct capitalization for a sentence or a title.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook Jackson – NPI EA – 3 (cat = Jackson)