Sample

Scalabrio191

Human rating uses the original dataset scale.

DatasetScalabrino
Human4.44
Lines11

Scores

MethodScoreScaleDataset rank
(0–100)
Posnett00–1; higher is more readable
51.3Δ 40.2
Scalabrino0.3820–1; higher is more readable
33.7Δ 57.8
Dorn0.310–1; higher is more readable
37.7Δ 53.8
Mi0.3850–1; higher is more readable
65.3Δ 26.1
LLOC9Logical lines; fewer is more readable
72.6Δ 18.8
DeepSeek V4 Pro16.670–20; mean of three runs
85.7Δ 5.8
GPT-6.1 Sol190–20; mean of three runs
98.0Δ 6.5
BTTF0.6730–1; higher is more readable
87.4Δ 4.0
Human4.441–5; original rating
91.5

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Source regions

Feature contributions

Feature contributions

FeatureValueContribution
(log-odds)
Halstead volumeHow much symbolic information the code contains. It combines the total number of operators and values with the number of distinct ones.595.239−19.643
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.5.256−7.884
Source linesThe number of non-empty source lines.11+4.4

Intercept 8.87 + feature contributions = -14.257 (log-odds).
Score = sigmoid(-14.257) = 0.

Score0.382

Feature contributions

FeatureValueContribution
(log-odds)
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.1+1.001
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.0−0.804
Indentation frequencyHow rapidly indentation changes from line to line.1−0.703
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.1+0.398
Identifier layout (horizontal)How rapidly the visual pattern of identifier characters changes from left to right. It measures spatial frequency, not the meaning of the names.93.909−0.312
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.9.758−0.273
Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *.0.115−0.178

Intercept 0.07 + feature contributions = -0.802 (log-odds).
Score = sigmoid(-0.802) = 0.31.

Score0.385
Score9
Run 1

The code has a clear purpose: configuring cache, statistics, transaction, and connection settings. Structure is flat and linear, with minimal nesting. Each line represents a single action, and the use of constants and getter methods clarifies intent. The reading flow is consistent and predictable. Minor deductions include slightly verbose repeated `cfg.setProperty` patterns and `cfg.getProperties().put()` which breaks the method-call consistency, slightly affecting natural flow and conciseness.

Run 2

The code is highly readable. It follows a logical structure, configuring related Hibernate settings in sequence. Nesting is minimal, with only the method body indented under the signature. The intent is clear: each line sets a specific environment property, making the purpose unambiguous. The code is concise, with no redundant operations, and each line represents a single action, improving granularity and readability. The reading flow is natural, as properties are grouped logically. Minor weaknesses include the use of string literals for property names and `cfg.getProperties().put()` breaking the consistent `cfg.setProperty()` pattern, but these do not significantly impact readability.

Run 3

The code is well-structured and readable. Each line performs a single configuration action, maintaining a flat, non-nested flow. The intent is clear: configure a Hibernate environment with specific caching, transaction, and connection settings. The use of constants improves clarity. Minor deductions: the method is slightly verbose with repetitive `cfg.setProperty()` calls, and the line with `cfg.getProperties().put()` breaks the pattern slightly. Overall, the code follows a logical sequence and is easy to scan and understand.

Run 1

Code Structure: A single, logically organized configuration method first delegates to the superclass, then applies settings. Nesting: Completely flat, with no conditional or loop nesting. Clarity of intent: Descriptive constants and helper method names clearly communicate each configuration choice, though cfg is abbreviated. Code length: Concise, with no unnecessary logic or repetition beyond explicit property assignments. Action granularity: Each line performs one configuration action. Reading flow: Natural top-to-bottom progression; related cache settings appear together. The switch from setProperty to getProperties().put slightly interrupts consistency but remains understandable.

Run 2

Code Structure: A single, logically organized configuration method delegates to the superclass before applying settings. Nesting: Entirely flat, with no conditionals or loops. Clarity of intent: The method name and descriptive configuration constants clearly communicate its purpose. Code length: Concise, with no unnecessary statements. Action granularity: Each line performs one configuration action. Reading flow: The sequential settings are easy to follow, though grouping cache-related and transaction-related settings with blank lines could improve scanning. The mixture of setProperty and getProperties().put introduces a minor stylistic variation, but does not significantly reduce readability.

Run 3

Code Structure: A single, logically organized configuration method with superclass initialization followed by related settings. Nesting: Completely flat, making execution easy to follow. Clarity of intent: Descriptive constants and helper names clearly identify the settings being configured. Code length: Concise, with no unnecessary logic or repetition beyond explicit property assignments. Action granularity: Each statement performs one configuration action on its own line. Reading flow: Natural top-to-bottom progression, although the switch from setProperty to getProperties().put slightly interrupts the otherwise uniform pattern.