This repository provides artifact for the paper:
"Enhancing APR with Prism: A Semantic-Based Approach to Overfitting Patch Detection.". We provide the following contents
We provide:
- Static analyzer: static analyzer of PRISM
- Dynamic test information extractor: dynamic analyzer to enhance static analyzer
- the scripts and experimental data: python scripts and experimental results
To reproduce our results, we recommend using the provided Docker image. All instructions below assume the working directory is /app inside the container:
docker build -t prism-test .
docker run -it prism-test
All benchmark patches used in our evaluation are located in experiment/benchmarks. Each patch follows a unified format:
--- [d4j-bug-dir]/[source_path]
+++ [d4j-bug-dir]/[source_path]
[unidiff-formatted patch contents]We provide complete experimental results for each evaluation. Specifically:
- rq1_results: Overall performance data of APR systems when combined with each APCC technique.
- rq2_results: Correct Patch Preservation Rate (CPR) and Incorrect Patch Discard Rate (IDR) values for various internal thresholds of each APCC technique.
We provide scripts to reproduce all tables and figures from the paper. Results may slightly differ due to non-determinism. Typos will be fixed in the camera-ready version.
cd /app/experiment/scripts
python3 rq1.py
This generates the following result table:
| APR | APCC | top-1 (Δ) | top-5 (Δ) | top-inf (Δ) | #C (Δ) | #I (Δ) | #P-F (Δ) | #P-L (Δ) |
|---------------|------------|-------------|-------------|---------------|------------|-------------|------------|-------------|
| ar_gen | patchsim | 9 (-5) | 12 (-6) | 15 (-7) | 24 (-43) | 255 (-87) | 236 (-14) | 247 (-101) |
| | ods | 6 (-8) | 7 (-11) | 7 (-15) | 12 (-55) | 32 (-310) | 8 (-242) | 18 (-330) |
| | shibboleth | 11 (-3) | 17 (-1) | 22 | 67 | 342 | 140 (-110) | 256 (-92) |
| | prism | 15 (+1) | 18 | 22 | 64 (-3) | 298 (-44) | 241 (-9) | 319 (-29) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| coconut | patchsim | 8 (-1) | 8 (-2) | 8 (-2) | 36 (-2) | 64 (-6) | 8 (-3) | 69 (-3) |
| | ods | 3 (-6) | 4 (-6) | 4 (-6) | 11 (-27) | 10 (-60) | 5 (-6) | 12 (-60) |
| | shibboleth | 5 (-4) | 10 | 10 | 38 | 70 | 16 (+5) | 74 (+2) |
| | prism | 9 | 10 | 10 | 37 (-1) | 36 (-34) | 11 | 40 (-32) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| cure | patchsim | 9 (-4) | 12 (-6) | 12 (-6) | 19 (-8) | 118 (-14) | 18 (-10) | 32 (-17) |
| | ods | 2 (-11) | 3 (-15) | 3 (-15) | 4 (-23) | 33 (-99) | 4 (-24) | 5 (-44) |
| | shibboleth | 13 | 15 (-3) | 18 | 27 | 132 | 50 (+22) | 65 (+16) |
| | prism | 15 (+2) | 18 | 18 | 27 | 91 (-41) | 21 (-7) | 38 (-11) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| edits | patchsim | 2 | 2 | 2 | 2 | 8 | 2 | 2 |
| | ods | 0 (-2) | 0 (-2) | 0 (-2) | 0 (-2) | 0 (-8) | 0 (-2) | 0 (-2) |
| | shibboleth | 2 | 2 | 2 | 2 | 8 | 2 | 2 |
| | prism | 2 | 2 | 2 | 2 | 8 | 2 | 2 |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| recoder | patchsim | 19 (-9) | 20 (-9) | 21 (-9) | 22 (-11) | 57 (-6) | 28 (-9) | 33 (-11) |
| | ods | 7 (-21) | 9 (-20) | 9 (-21) | 9 (-24) | 24 (-39) | 13 (-24) | 13 (-31) |
| | shibboleth | 22 (-6) | 28 (-1) | 30 | 33 | 63 | 48 (+11) | 58 (+14) |
| | prism | 28 | 29 | 30 | 33 | 41 (-22) | 37 | 40 (-4) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| reward_repair | patchsim | 18 (-7) | 21 (-7) | 22 (-7) | 82 (-25) | 158 (-12) | 33 (-7) | 143 (-36) |
| | ods | 9 (-16) | 11 (-17) | 11 (-18) | 32 (-75) | 53 (-117) | 15 (-25) | 37 (-142) |
| | shibboleth | 20 (-5) | 27 (-1) | 29 | 107 | 170 | 61 (+21) | 197 (+18) |
| | prism | 26 (+1) | 29 (+1) | 29 | 106 (-1) | 117 (-53) | 34 (-6) | 141 (-38) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| selfapr | patchsim | 22 (-7) | 25 (-7) | 26 (-7) | 144 (-80) | 171 (-4) | 47 (-7) | 209 (-82) |
| | ods | 12 (-17) | 13 (-19) | 13 (-20) | 70 (-154) | 56 (-119) | 14 (-40) | 87 (-204) |
| | shibboleth | 27 (-2) | 32 | 33 | 224 | 175 | 62 (+8) | 299 (+8) |
| | prism | 29 | 32 | 33 | 224 | 165 (-10) | 54 | 285 (-6) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| sequencer | patchsim | 6 (-7) | 9 (-7) | 10 (-7) | 15 (-10) | 79 (-9) | 22 (-7) | 47 (-11) |
| | ods | 3 (-10) | 3 (-13) | 4 (-13) | 4 (-21) | 22 (-66) | 9 (-20) | 9 (-49) |
| | shibboleth | 12 (-1) | 16 | 17 | 25 | 88 | 35 (+6) | 65 (+7) |
| | prism | 15 (+2) | 16 | 17 | 25 | 55 (-33) | 25 (-4) | 39 (-19) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| simfix | patchsim | 12 (-2) | 12 (-3) | 12 (-3) | 12 (-3) | 20 (-2) | 12 (-4) | 12 (-4) |
| | ods | 3 (-11) | 3 (-12) | 3 (-12) | 3 (-12) | 1 (-21) | 3 (-13) | 3 (-13) |
| | shibboleth | 15 (+1) | 15 | 15 | 15 | 22 | 15 (-1) | 15 (-1) |
| | prism | 14 | 15 | 15 | 15 | 17 (-5) | 16 | 16 |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| tbar_gen | patchsim | 22 (-7) | 26 (-7) | 28 (-9) | 36 (-15) | 195 (-83) | 84 (-58) | 153 (-66) |
| | ods | 13 (-16) | 14 (-19) | 15 (-22) | 15 (-36) | 46 (-232) | 29 (-113) | 29 (-190) |
| | shibboleth | 25 (-4) | 29 (-4) | 37 | 51 | 278 | 126 (-16) | 275 (+56) |
| | prism | 32 (+3) | 34 (+1) | 37 | 49 (-2) | 191 (-87) | 96 (-46) | 166 (-53) |
| ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- |
| TOTAL | patchsim | 127 (-49) | 147 (-54) | 156 (-57) | 392 (-197) | 1125 (-223) | 490 (-119) | 947 (-331) |
| | ods | 58 (-118) | 67 (-134) | 69 (-144) | 160 (-429) | 277 (-1071) | 100 (-509) | 213 (-1065) |
| | shibboleth | 152 (-24) | 191 (-10) | 213 | 589 | 1348 | 555 (-54) | 1306 (+28) |
| | prism | 185 (+9) | 203 (+2) | 213 | 582 (-7) | 1019 (-329) | 537 (-72) | 1086 (-192) |
cd /app/experiment/scripts
python3 rq2.py
This generates the following figure:
cd /app/experiment/scripts
python3 rq3.py
This produces the following table:
| Feature Type | RF@70% | PRISM@70% | RF@80% | PRISM@80% | RF@90% | PRISM@90% |
|----------------|-----------|-------------|-----------|-------------|-----------|-------------|
| Syn | 638 (48%) | 650 (49%) | 405 (30%) | 375 (28%) | 265 (20%) | 135 (10%) |
| Sem | 623 (47%) | 672 (51%) | 484 (37%) | 572 (43%) | 339 (25%) | 451 (34%) |
| Syn+Sem | 649 (49%) | 723 (55%) | 422 (32%) | 544 (41%) | 167 (12%) | 340 (26%) |
Our artifact also provide scripts for running the all APCC techniques used in our evaluations. All the results will be stored in experiment/outputs. We also provide the outputs data used in our evaluations. See the outputs README for more details.
For running PRISM, build INFER and our dynamic tracer:
# 1. Build PRISM analyzer
cd /app/analyzer
./build_infer.sh java
sudo make install
# 2. Build tracer
cd /app/compoments
mvn package
To extract semantic features from the given patch type the following commands:
cd /app/experiment/scripts
# compile the both the original and patch code
python3 run.py --patch [patch_path] --mode prism-capture
# extract the dynamic informattion from the original and patch code
python3 run.py --patch [patch_path] --mode prism-trace
# analyze each code and extract semantic features
python3 run.py --patch [patch_path] --mode prism-run
The resulting feature vector will be stored in experiment/outputs/[bugid]/[patchid]/prism/result.json
For running PatchSim, compile PatchSim binaries
cd /app/experiment/tools/PatchSim/tool/source/
make build
javac classifier.java
Running PatchSim with given patch is conducted by following command:
cd /app/experiment/scripts
python3 run.py --patch [patch_path] --mode patchsim
The result will be stored in experiment/outputs/[bugid]/[patchid]/patchsim/result.json
To extract the syntactic featrues used in ODS, compile coming.
cd /app/experiment/tools/coming
coming mvn package
Extracting ODS's syntactic feature is conducted as following:
cd /app/experiment/scripts
python3 run.py --patch [patch_path] --mode ods-extract
The feature vector will be stored in experiment/outputs/[bugid]/[patchid]/ods/feature.json
Shibboleth also requires method signature metadata at experiment/outputs/[bugid]/[patchid]/patch_mthds.results in the following format:
[class_name]/[method_name]/[arguments]
Running shibboleth with the following command:
cd /app/experiment/scripts
python3 run.py --patch [patch_path] --mode shibboleth-extract
The feature vector will be stored at experiment/outputs/[bugid]/[patchid]/shibboleth/score.csv
We also provide the script for classifying the patches based on each APCC's result:
cd /app/experiment/scripts
python3 classify.py --patch [patch_path] --apcc [prism|patchsim|ods|shibboleth]