Decoding Subjectivity in Coding Test Grading: How to Ensure Fair Assessments

by Codeaid Team

In 2022, poor-quality software in the US cost about $2.41 trillion.
So, it’s no wonder that an increasing number of tech recruiters are searching for more effective ways to find the best talent.

subjectivity in coding test grading

In 2022, poor-quality software in the US cost about $2.41 trillion

So, it’s no wonder that an increasing number of tech recruiters are searching for more effective ways to find the best talent.  

Here’s where pre-hire coding tests come in. 

Such tests are a great way to assess technical talent as they give a detailed ground-truth assessment of the candidate’s skills.  

Additionally, such tests can eliminate bias and even replace technical interviews, saving lots of time and costs.  

But there’s a catch. 

Coding tests have to be carefully graded. Otherwise, an inaccurate assessment might lead to making the wrong hiring choices. 

Let’s cover all about code test grading and how it works. We’ll also explore the pros and cons of manual and automatic grading, including how to eliminate subjectivity in manual code test grading.  

What is Code Review in Coding Tests? 

A coding test review refers to evaluating a pre-hire coding skills test the candidate completes as part of the job application process. Coding test reviews are a crucial step of the hiring process as they evaluate the candidate’s coding skills, ability to implement best practices, problem-solving capabilities, and technical knowledge. 

Such reviews usually involve assessing the code’s structure, correctness, readability, and efficiency. This gives you a clear understanding of the candidate’s coding strengths and weaknesses and helps you make better decisions. 

The way you review programming tests is crucial for the accurate and consistent assessment of all potential hires. Overall, there are two main types of code test reviews – manual and automated. Let’s take a closer look. 

Automated Code Test Grading: Definition, Pros & Cons 

Automatic grading is fast, unbiased, and convenient.  

The automated code review is performed with the help of automated tools that analyze the source code to identify potential errors. To ensure consistent and correct analysis, the tool uses predefined rules and best practices. 

However, if the automated coding challenge review tool is not well-calibrated to show the expected average scores for junior, intermediate, and senior developers and the test scores are not well distributed, this might lead to inaccurate assessment. 

Pros 

  • Speed: Automated reviewing tools can scan thousands of lines of code in a matter of seconds. This makes them a time-efficient way to review programming tests. 
  • Cost efficiency: Automatic grading does not require a highly skilled programmer to go through the code. Their ease of use will help you cut costs as you won’t have to involve highly skilled specialists in the hiring process. 
  • Consistency: Automated code review tools are consistent in the results they provide. They do not have subjectivity issues or bias like human reviewers do.  
  • Scale: Such processes are easy to scale as implementing them does not require extra resources, and they can be used across a larger pool of candidates.  

Cons 

  • Mistakes: While automated grading tools are good at catching minor mistakes (often missed by the human eye), they are unable to assess the bigger picture and take into account things like the business logic behind the code. In turn, this can lead to false positive and inaccurate assessment results. 
  • Lacks context: Automated reviewing is consistent, but it fails to consider the intent behind specific excerpts of code. Additionally, automatic grading tools cannot comment on the structure of the code (e.g., if the developer used the best design patterns or class structure). This might lead to inaccurate grading and failure to accurately reflect the candidate’s skills.  
  • Scope limitations: An automated tool can only detect vulnerabilities that it already knows. This means there’s a possibility of the tool missing any unknown errors.  

Manual Code Test Grading: Definition, Pros & Cons 

This type of code review is performed by an experienced developer who evaluates the candidate’s language mastery and the code’s structure, reusability, conciseness, and readability. This allows the reviewer to provide their expert feedback on the candidate’s skills and knowledge

While automated test review is convenient, not all technical skills tests can be automatically graded. For example, DevOps and Security challenges can be difficult to grade automatically. Additionally, candidates applying for project managers, designers, and QA will also need to be graded manually. 

So, manual grading is inevitable in some scenarios.   

However, if not done in a constructive manner, manual grading can lead to subjectivity, decreasing the grading accuracy. 

Subjectivity is almost always present in the following scenarios: 

  • If the reviewer receives the code without any predefined grading structure and criteria: Guidelines like “Evaluate the quality of the code” are too general and might lead to inaccurate scoring. That’s why evaluation instructions should be as specific as possible. The grading process should also be structured, and all reviews – done against the same criteria.  
  • If the system allows anyone from the hiring team to grade the assignment: Company recruiting staff that constantly work with engineering resources know who has the skills, competence, and availability to review the coding tests. That’s why recruiters should invite only a few selected reviewers. Additionally, technical recruiters should be able to assign multiple reviewers when needed. This gives them the ability to later correlate reviews with new hire performance and see whose reviews are most accurate. 

Pros 

  • Better understanding: A human reviewer can go beyond the lines of code and provide a more holistic assessment. Manual reviewing also allows the detection of more subtle code inefficiencies and vulnerabilities not included in the preset rules of automated tools. This also allows for understanding the logic behind the code, leading to more accurate coding assessments.  
  • Customization: When manual grading is applied, the reviewers can modify the grading criteria. Usually, employers who want to tailor the grading process to specific position requirements favor manual reviews as this allows them to assign greater importance to different criteria and adjust the grades accordingly. On the other hand, an automated grading tool will spit out the same result breakdown even if you want to include or remove some of the preset grading factors.  
  • High accuracy: Since manual reviews are performed by highly skilled individuals, their grades will be accurate, considering all criteria vital for assessing the candidate as a whole.  

Cons 

  • Cost and time inefficiencies: Manual reviews involve specialists coming in and performing the review, resulting in a longer grading process and higher costs. Also, the best reviewers are usually senior developers who are quite busy and hard to schedule, which additionally prolongs the whole process. 
  • Subjectivity: Since different reviewers bring different expertise and unconscious biases to the table, they might be subjective when reviewing the coding test. This means you would have to run the code through a few reviewers to get a more balanced assessment. 
  • Scalability: Manual reviews are not easy to scale as they involve more human resources, and this can be challenging for bigger organizations. 

Codeaid: Superior Code Grading to Hire the Best Talent 

Codeaid is a coding test website that offers various real-world simulation coding tests and both automatic and manual grading features.  

This gives you the freedom to decide which coding challenge review approach to adopt. 

Furthermore, Codeaid’s automatic grading feature does not only do the hard job for you, but it also gives you a highly granular report on how the grade was compiled. This allows you to see all key insights and details on which sections the candidates passed and which they failed. 

On the other hand, the manual grading feature offers an even more refined evaluation. This comprehensive approach is based on a predefined framework of various criteria, reducing subjectivity and ensuring a fair assessment. This coding assessment method is ideal for coding tests where automated grading is not possible (for example, for architecture positions).  

You can finally ditch the superficial coding tests for interviews and try a refined and accurate coding test tool that will help you find top talent. 

Manual vs. Automatic Code Test Grading: The Takeaway 

Overall, both manual and automatic coding tests have their pros and cons. Which grading approach you choose depends on a few factors, including what position you’re hiring for.  

Whether you choose manual or automatic code review, you should ensure the tool you’re using offers best of both. Automatic grading can give you quick and easy access to key insights into the candidate’s performance and abilities. On the other hand, manual grading provides a well-controlled assignment process, grading process, and reviewer evaluation process so subjectivity is minimized as much as possible. 

Ready to try a superior coding test website like Codeaid? Check out our detailed coding tests and robust grading features. 

Related Blogs

  • Addressing the Shortage of Software Engineers: Effective Strategies & Tips 

    In the rapidly evolving tech world, software engineers are some of the most sought-after professionals. Yet, the demand for skilled experts outstrips the supply, leading to a global shortage of qualified software engineers.

    Read More
  • Do AI-proof Coding Tests Exist?

    Constructing AI-Proof Coding Tests: All You Need to Know 

    AI is reshaping landscapes across all industries, and the tech sector is no exception. In fact, about 92% of US-based developers already use AI-based tools for code writing and debugging.

    Read More
  • What is Pre-employment Testing 

    6 Types of Pre-employment Testing and Their Benefits 

    Let’s face it: New hire retention is a continuing problem and ensuring high retention rates can be challenging.

    Read More
  • From Code to Deployment: The Power of Full-Cycle Testing in Coding Assessments 

    Let’s face it: Nobody likes buggy software. But poor-quality software is a reality, and it has a large cost.

    Read More
  • Architecture Skills Tests

    Architecture Skills Testing Conundrum

    Developing software applications is not just about writing code. It is also about architecting the system to be understandable, extendable, reliable, and scalable.

    Read More
  • Benefits of gender diversity in the workplace

    Building a Diverse and Inclusive Workplace: Strategies for Ensuring Lasting Diversity

    In this buzzing era of universal connectivity, we’re noticing a seismic shift in how businesses roll out their operations.

    Read More
  • reducing gender bias in tech hiring

    Breaking Barriers: Coding Tests Help Reduce Gender Bias in Hiring

    Women have made significant strides in the tech industry in recent years, and they continue to propel change and innovation in the sector.

    Read More
  • Rethinking Seniority in Coding Assessments

    When hiring for a developer position, there is usually a target seniority to keep in mind.

    Read More
  • Coding Assessments in a ChatGPT world

    The coding assessment market is scrambling, just as many other markets are, to determine the risks and opportunities that ChatGPT brings.

    Read More
  • Programmer Training: Why Hands-On Learning is Key

    While many software developers are proactive in learning new technologies on their own time, relying solely on this approach can leave gaps in their knowledge and skills. In a more direct nutshell, they might not be learning what you need them to learn.

    Read More
  • Feedback in Coding Assessments

    Beyond the Score: The Importance of Feedback in Coding Assessments

    Coding tests can tell you many things about a candidate, but what most don’t do is tell you how they respond to feedback.

    Read More
  • Authenticity in Coding Tests: A Deeper Dive

    To make sure everyone’s playing fair, most coding test platforms run plagiarism or similarity checks on submitted code.

    Read More
  • front end developer testing

    Front-end Developers – Pixel-Perfect Testing 

    Gone are the days when a piece of software’s success was determined solely by its functionality.

    Read More
  • Cracking the Code: Making Coding Skills Tests a Win-Win

    Let’s face it, no one is thrilled about taking a coding test, especially top-notch candidates who have their pick of the litter when it comes to job opportunities.

    Read More
  • Coding Tests – Online vs Take-home 

    Finding good developers has become more difficult and you have to kiss a lot of frogs to find a prince or a princess.

    Read More
  • Coding Test: Why 2 Hours are Not Enough

    Globally, there is a significant developer shortage and that, coupled with remote work being the norm these days, incentivizes companies to go beyond the usual group of candidates and testing techniques.

    Read More
  • Stop Testing for Programming Language Skills – Test for What Matters Most

    Capturing the full spectrum of programming qualities that make someone a good developer is a hard task.

    Read More
  • How to be a better technical recruiter

    Tech recruiters are the gatekeepers of the tech industry. They get to decide which candidates have a shot at getting hired, and which ones don’t.

    Read More
  • How to Test Coding Skills

    Why should you test coding skills? Let’s face it: it’s easy for developers to make themselves sound like Developer of The Year when you don’t have any evidence that proves otherwise.

    Read More
  • How to Streamline Recruitment Process for Tech Talent in 6 Simple Steps

    Business owners and recruiters know how complex, time-consuming, and even expensive it could be to hire a talented professional.

    Read More