From d0c8a12115c9ce9f0b5c176e40112475982d5083 Mon Sep 17 00:00:00 2001 From: skyleaworlder Date: Mon, 25 Nov 2024 12:32:24 +0800 Subject: [PATCH] init --- .github/workflows/static.yml | 43 ++ cost.html | 598 +++++++++++++++ .../ablation-2433793.png | Bin 0 -> 307070 bytes experimental_results.assets/coverage.png | Bin 0 -> 84183 bytes experimental_results.assets/types.png | Bin 0 -> 348977 bytes experimental_results.html | 598 +++++++++++++++ false_positives.assets/rules.jpg | Bin 0 -> 37993 bytes false_positives.html | 598 +++++++++++++++ index.html | 600 +++++++++++++++ math.html | 598 +++++++++++++++ symbolic_execution.html | 697 ++++++++++++++++++ 11 files changed, 3732 insertions(+) create mode 100644 .github/workflows/static.yml create mode 100644 cost.html create mode 100644 experimental_results.assets/ablation-2433793.png create mode 100644 experimental_results.assets/coverage.png create mode 100644 experimental_results.assets/types.png create mode 100644 experimental_results.html create mode 100644 false_positives.assets/rules.jpg create mode 100644 false_positives.html create mode 100644 index.html create mode 100644 math.html create mode 100644 symbolic_execution.html diff --git a/.github/workflows/static.yml b/.github/workflows/static.yml new file mode 100644 index 0000000..f5bef92 --- /dev/null +++ b/.github/workflows/static.yml @@ -0,0 +1,43 @@ +# Simple workflow for deploying static content to GitHub Pages +name: Deploy static content to Pages + +on: + # Runs on pushes targeting the default branch + push: + branches: ["site"] + + # Allows you to run this workflow manually from the Actions tab + workflow_dispatch: + +# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages +permissions: + contents: read + pages: write + id-token: write + +# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued. +# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete. +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + # Single deploy job since we're just deploying + deploy: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + - name: Setup Pages + uses: actions/configure-pages@v5 + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + # Upload entire repository + path: '.' + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 diff --git a/cost.html b/cost.html new file mode 100644 index 0000000..f4f6adf --- /dev/null +++ b/cost.html @@ -0,0 +1,598 @@ + + + + + +cost + +
+

Cost

We counted the input token of the prompts generated by LISP, as well as the output token of the LLM’s response, and calculated the amount spent.

Token Consumption: The pricing of gpt-3.5-turbo we use is “US$0.50 per 1M input tokens”and “US$1.50 per 1M output tokens”

LISP

 # Input Token# Output Token# Cost
commons-lang319,877,5171,726,83012.529812
JFreeChart3,020,835324,2401.9969238
JGraphT2,341,596251,3341.5479114
guava3,485,580374,1212.3041429
joda-time3,306,834354,9362.1859817
threeten4,247,010435,8432.7774227
time4j2,804,631287,8201.834147
ical4j8,053,296826,4585.2666223
sis-utility15,889,0051,255,6749.828611
xchart3,926,481402,9512.5678059
# SUM66,952,7856,240,20742.8393807

LISP-CG

 # Input Token# Output Token# Cost
commons-lang320,764,0982,127,64513.574352
JFreeChart5,544,456411,1983.389278
JGraphT4,297,776318,7412.627192
guava6,397,452474,4623.910706
joda-time6,069,378450,1293.710157
threeten5,219,025490,0413.34479
time4j3,446,526323,613 2.208823
ical4j9,896,454929,2326.3424792
sis-utility17,849,9821,751,99411.553664
xchart4,825,137453,0573.092353
# SUM84,310,2847,730,11253.7537942

LLM-Baseline

 # Input Token# Output Token# Cost
commons-lang32,931,549540,3302.2764086
JFreeChart909,048167,5530.705896
JGraphT704,646129,8790.547173
guava1,048,902193,3290.814495
joda-time995,112183,4140.772726
threeten570,174105,0930.442751
time4j376,53069,3990.292383
ical4j1,964,694353,6641.5129235
sis-utility4,936,167888,5583.801126
xchart957,909172,4340.737644
# SUM15,394,7312,803,65311.9035261

 

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zmnn}Vi3+r=Ow&Y#9l@!^V@Ce<&LC!Gj2^Tgjv=hA?;9={vv8k~7g)7{OvL>6=ASD33@XHb=6X&!ZPp zKgniTmf0CLv7;wG``f?UACY@l6;xIxF7V=_5#jaEUn7R;;qJp?oMCiR z-qX_P*ty>7A}vQj!+V1Ta#?GtGs?qb(Kxt+r%6IMqFe124bK%c3C6<;miU~BMyS@c z`(|eqZLQJsA~O!VyMhF3h3p557cC05#_p9=>QV^nRO~pOUBKhjwT;A!2-_0s0<;dN z2`U_2cd%e?IWdje8J`3F E2T! + + + + +false_positives + +
+

False Positives

The related code we used to detect false positives can be found in our artifact.

Library NameOriginAfter Rule 1After Rule 2
commons-lang32358130
JFreeChart101713
JGraphT12712747
guava2147133
joda-time652510
threeten452117
time4j432415
ical4j122116106
sis-utility296167126
xchart393917
Overall1287742404

rules

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+

LLM Based Input Space Partitioning Testing for Library APIs

LLMISP Repository


Operation Guidance

Prerequisites

  • A java library that exists in maven central repository.
  • A valid OpenAI API Key.
  • Java 11 & Python 3.10 & Maven 9.

Usage

  • Create a file named llm-seed-generator.cfg in the folder llm-seed-generator, refer to the file llm-seed-generator.example.cfg for details, and replace the OPENAI_KEY in it with your valid OpenAI API Key.
  • Add the java library you want to test to the dependencies in the pom.xml file in the folder llm-JQF/fuzz.
  • Run mvn install -DskipTests in the folder llm-JQF.
  • Run bin/jqf-llm -i -o {library_name} {api_name} in the folder llm-JQF.
  • library_name's format: group_id:artifact_id:version +api_name's format: class_name.method_name(param_type_names) +EX. bin/jqf-llm -i -o "org.apache.commons:commons-lang3:3.14.0" "org.apache.commons.lang3.StringUtils.indexOfDifference(CharSequence,CharSequence)"

Experimental Results

Cost

Symbolic Execution

Math

False Positives

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+

Math-Related APIs

We reviewed 2,205 APIs in the 10 libraries under test and identified the math-related APIs.

As shown in table , there are only 8.07% of the APIs are math-related.

Library Name# API
commons-lang32/545
JFreeChart0/169
JGraphT91/131
guava42/195
joda-time0/185
threeten0/106
time4j2/70
ical4j0/201
sis-utility41/505
xchart0/98
# SUM178/2205

 

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+

Symbolic Execution

This page is used to explain symbolic execution tools have limited support for inputs involving complex objects and data structures.

Simple Example

Objects of Interface Types

Objects with Array Type Fields.

Collection Data Structure


Root Causes Sample

R1. SPF crashed when invoking a method through a symbolic object of interface type

SPF Driver

Output Log


R2. SPF was stuck when forking a large number of states for heap objects

SPF Driver


R3. SPF crashed when accessing the length of an array field within a symbolic object

SPF Driver

Output Log

R4. SPF has limited support for String

SPF Driver

Output Log

R5. SPF is unable to handle native methods

SPF Driver

Output Log

R6. SPF failed to solve path constraints

SPF Driver

Output Log

 

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+

Experimental Results

This page contains the experimental results in the ICSE 2025 submission titled "LLM Based Input Space Partitioning Testing for Library APIs".

Code Coverage Overall

If you want to get the coverage information for each API, you can download the full coverage table to review it.

Library NameLISPEvoSuite 100sEvoSuite 150sEvoSuite 200sLLM-baselineLISP-CG
commons-lang381.82%62.56%62.80%62.92%47.56%89.67%
JFreeChart72.10%60.92%65.31%67.09%24.05%73.13%
JGraphT69.60%65.86%63.67%65.89%21.98%68.49%
guava77.05%68.77%73.14%75.89%52.38%80.34%
threeten61.26%48.86%50.11%52.38%35.38%60.57%
joda-time79.27%20.73%20.44%23.03%46.74%76.36%
time4j62.60%28.57%27.88%27.02%15.35%70.55%
ical4j76.71%61.66%60.73%58.28%41.39%75.55%
SIS-Utility72.43%69.44%70.70%69.44%49.50%72.52%
XChart87.62%73.98%76.10%76.84%44.75%84.53%

coverage


Efficiency

If you want to get efficiency for each library, you can download the full efficiency table to review it.

 Covered Edge NumValid Inputs NumTime (s)Edge / InputTime / Input
LISP1910012173734291.5696.032
EvoSuite 100s15233393092205000.3885.609
EvoSuite 150s15571568173307500.2745.821
EvoSuite 200s15725737904410000.2135.976
LLM-BaseLine104894141319602.5337.718
LISP-CG1976516161768541.2234.756

Exceptions

If you want to get Exceptions in each library, you can download the full Exceptions table to review it.

Exception TypeLISPEvoSuite 200sLLM-Baseline
java.lang.ArrayIndexOutOfBoundsException443516
java.lang.NegativeArraySizeException390
java.lang.IndexOutOfBoundsException17193
java.lang.NullPointerException2406934
java.lang.StringIndexOutOfBoundsException22217
java.lang.StackOverflowError400
java.util.MissingResourceException886
java.lang.UnsupportedOperationException10133
java.time.DateTimeException540
java.lang.NumberFormatException13111
java.time.temporal.UnsupportedTemporalTypeException630
java.time.zone.ZoneRulesException300
java.time.format.DateTimeParseException16147
java.lang.ArithmeticException551
java.util.IllformedLocaleException110
java.lang.ArrayStoreException100
javax.measure.format.MeasurementParseException200
java.lang.ClassCastException400
java.io.IOException010
java.io.EOFException010
java.lang.TypeNotPresentException020

types


Ablation Study - Coverage

Library NameLISPAblation 1Ablation 2
commons-lang381.82%44.26%81.43%
JFreeChart72.10%9.59%59.12%
JGraphT69.60%16.30%38.44%
guava77.05%50.22%77.45%
threeten61.26%6.45%33.01%
joda-time79.27%16.83%27.56%
time4j62.60%18.63%50.14%
ical4j76.71%49.63%58.20%
SIS-Utility72.43%53.74%67.02%
XChart87.62%46.90%73.63%

ablation