id stringlengths 3 13 | source_pdf_sha256 stringlengths 64 64 | tables_to_rep listlengths 0 4 | tables_gt_data listlengths 0 4 | tables_obf_data listlengths 0 4 | table_exclusions listlengths 0 5 | figure_exclusions listlengths 2 20 | eligible_for_execution bool 2
classes | paper_exclusion_reason stringclasses 1
value | figures_to_rep listlengths 0 8 | figures_to_rep_image images listlengths 0 8 | figure_gt_data listlengths 0 8 | figure_obf_data listlengths 0 8 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
axa | fb0791cb9a0347c2e765547994339718026160cc8e50e1a37ff2437c1cb60ba2 | [
"Table 1: Extensions and Changes of Single-Language Analyses for Integration into AXA",
"Table 2: Benchmark Results",
"Table 3: Precision And Recall of Points-To-Sets"
] | [
{
"Analysis": {
"0": "Java",
"1": "JavaScript",
"2": "Native"
},
"Detector": {
"0": "836 (JS), 0 (Native)",
"1": "166 + 2",
"2": 328
},
"Lattice": {
"0": "60 (JS)",
"1": "90+14",
"2": 107
},
"Solver": {
"0": 0,
"1": 2,
... | [
{
"Analysis": {
"0": "Java",
"1": "JavaScript",
"2": "Native"
},
"Detector": {
"0": "836 (JS), 0 (Native)",
"1": "166 + 2",
"2": "<obf>"
},
"Lattice": {
"0": "60 (JS)",
"1": "90+14",
"2": "<obf>"
},
"Solver": {
"0": "<obf>",
... | [] | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 3,
"caption": "Figure 1: Architecture ove... | true | null | [] | [] | [] | |
bcia | 815d31820a9a4c03bcae7d29320f7cff8565ca12465f4b98fd0fd70fd5959452 | [
"Table 2: Overview of selected subject projects."
] | [
{
"Project": {
"0": "P1: Spectre",
"1": "P2: Paddle",
"2": "P3: AliceO2",
"3": "P4: Krita",
"4": "P5: MySQL-Server",
"5": "P6: Qt-Creator",
"6": "P7: Serenity",
"7": "P8: Calligra",
"8": "P9: VXL",
"9": "P10: Swift"
},
"# BC a": {
"0": 30... | [
{
"Project": {
"0": "P1: Spectre",
"1": "P2: Paddle",
"2": "P3: AliceO2",
"3": "P4: Krita",
"4": "P5: MySQL-Server",
"5": "P6: Qt-Creator",
"6": "P7: Serenity",
"7": "P8: Calligra",
"8": "P9: VXL",
"9": "P10: Swift"
},
"# BC a": {
"0": "<... | [
{
"table_index": 0,
"caption": "Table 1: The types of relationships in the IKG.",
"locations": [
{
"page_no": 5,
"bbox": {
"l": 318.0298156738281,
"t": 686.34619140625,
"r": 558.110595703125,
"b": 423.79833984375,
"coord_origin": "B... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "Figure 1: Overview of BCIA.",
"reason": "not_structured_data"
},
{
"figure_index": 3,
"captio... | true | null | [
"(a) General perspective.",
"(b) Project-specific perspective.",
"Figure 6: The distribution of the breadth of impact sets."
] | [
{
"data": {
"Stage 1": [
{
"category": "May not Propagate",
"percentage": 7.08
},
{
"category": "May Propagate",
"percentage": 92.92
}
],
"Stage 2": [
{
"category": "Will not Propagate",
"percen... | [
"{\"data\": {\"Stage 1\": [{\"category\": \"May not Propagate\", \"percentage\": \"<obf>\"}, {\"category\": \"May Propagate\", \"percentage\": \"<obf>\"}], \"Stage 2\": [{\"category\": \"Will not Propagate\", \"percentage\": \"<obf>\"}, {\"category\": \"Will Propagate\", \"percentage\": \"<obf>\"}], \"Stage 3\": [{... | |
bloat | 293791420dc4a1f6b3e3372f93b42337f6978e24ea5df1fac450e830f4373af9 | [
"Table 1. The evolution of our initial dataset [Alfadel M 2020] after applying each step of our data collection and data analysis approach.",
"Table 2. Statistics on the resolved and unresolved external calls during our stitching process.",
"Table 3. The status of our pull requests, proposing the removal of blo... | [
{
"Step": {
"0": "",
"1": "Data Collection",
"2": "",
"3": "Data Analysis",
"4": "",
"5": ""
},
"Operation": {
"0": "Initial dataset of Python GitHub projects",
"1": "Filtering inaccessible projects",
"2": "Dependency resolution",
"3": "Partial... | [
{
"Step": {
"0": "",
"1": "Data Collection",
"2": "",
"3": "Data Analysis",
"4": "",
"5": ""
},
"Operation": {
"0": "Initial dataset of Python GitHub projects",
"1": "Filtering inaccessible projects",
"2": "Dependency resolution",
"3": "Partial... | [] | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "Fig. 1. The overview of our approach for studying bloated code in PyPI ecosystem.",
"reason": "not_struct... | true | null | [
"Fig. 5. The distribution of bloat metrics per granularity. Each entry indicates the percentage of bloated entities (e.g., files, methods), and the size of bloated dependency code compared to the overall LoC.",
"Fig. 6. The distribution of bloat metrics per vulnerability exposure. Each entry indicates the relatio... | [
{
"description": "Box plot showing the distribution of bloat percentage across three entity types (Package, File, Method) for two metrics: Bloated LoC and Bloated entries. Each box plot displays the lower whisker (minimum non-outlier), first quartile (Q1), median, third quartile (Q3), upper whisker (maximum non... | [
"{\"data\": [{\"entity_level\": \"Package\", \"entity_type\": \"Bloated LoC\", \"whisker_low\": \"<obf>\", \"q1\": \"<obf>\", \"median\": \"<obf>\", \"q3\": \"<obf>\", \"whisker_high\": \"<obf>\", \"mean\": \"<obf>\"}, {\"entity_level\": \"Package\", \"entity_type\": \"Bloated entries\", \"whisker_low\": \"<obf>\",... | |
crossover | 876e1b386f47bf84128d3548de087430e06d589826e68f61333585c3961b5945 | [
"Table 1: Evaluation Subjects. For each subject, we list the project name and version (Project), the format of the input (Format), and the number of branches as reported by JaCoCo (Branches).",
"Table 2: Heritability Metrics. For each crossover operator, we report the proportion of samples that were hybrids ( HY ... | [
{
"Project": {
"0": "Apache Ant (1.10.13) [1]",
"1": "Apache BCEL (6.7.0) [4]",
"2": "Google Closure (v20230502) [13]",
"3": "Apache Maven (3.9.2) [5]",
"4": "OpenJDK Nashorn (11.0.19) [39]",
"5": "Mozilla Rhino (1.7.14) [33]",
"6": "Apache Tomcat (10.1.9) [6]"
},
... | [
{
"Project": {
"0": "Apache Ant (1.10.13) [1]",
"1": "Apache BCEL (6.7.0) [4]",
"2": "Google Closure (v20230502) [13]",
"3": "Apache Maven (3.9.2) [5]",
"4": "OpenJDK Nashorn (11.0.19) [39]",
"5": "Mozilla Rhino (1.7.14) [33]",
"6": "Apache Tomcat (10.1.9) [6]"
},
... | [] | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 3,
"caption": "",
"reason": "missing_... | true | null | [] | [] | [] | |
dypybench | 738c509d543d896518195331db91b6b059efbb3b24c6f7e1ee2e2250e47b7882 | [
"Table 2. Properties of DyPyBench.",
"Table 3. Examples of patterns among top-100 mined patterns."
] | [
{
"Metric": {
"0": "Projects",
"1": "Lines of code",
"2": "Test cases:",
"3": "Total",
"4": "Passing",
"5": "Failing",
"6": "Skipped",
"7": "Lines of executed code:",
"8": "Total lines",
"9": "Coverage",
"10": "Execution time:",
"11": "Avg.... | [
{
"Metric": {
"0": "Projects",
"1": "Lines of code",
"2": "Test cases:",
"3": "Total",
"4": "Passing",
"5": "Failing",
"6": "Skipped",
"7": "Lines of executed code:",
"8": "Total lines",
"9": "Coverage",
"10": "Execution time:",
"11": "Avg.... | [
{
"table_index": 0,
"caption": "Table 1. Projects in the benchmark.",
"locations": [
{
"page_no": 5,
"bbox": {
"l": 44.755470275878906,
"t": 613.0430297851562,
"r": 441.7969665527344,
"b": 404.2380065917969,
"coord_origin": "BOTTOML... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
}
] | true | null | [
"Fig. 1. Number of successful, failed, and skipped test cases for each project of the benchmark.",
"Fig. 2. Cumulative distribution of test suite pass rates for all projects.",
"Fig. 3. Distribution of covered statements vs uncovered statements during the execution of test suites for each project.",
"Fig. 4. ... | [
{
"description": "Stacked bar chart showing the count of test cases categorized by outcome (successful test cases, failed test cases, and skipped test cases) across various software projects.",
"data": [
{
"project": "akshare",
"successful test cases": null,
"failed test cases"... | [
"{\"data\": [{\"project\": \"akshare\", \"successful test cases\": null, \"failed test cases\": null, \"skipped test cases\": null}, {\"project\": \"arrow\", \"successful test cases\": \"<obf>\", \"failed test cases\": null, \"skipped test cases\": null}, {\"project\": \"black\", \"successful test cases\": \"<obf>\... | |
goblinupdater | b4a038cdf21e429d5d3e23560707fd3dfab0ed7810af222ca77247fa05fab683 | [
"Table 1: Configurations used for experiments. F = freshness, P = popularity, CVE = vulnerability score."
] | [
{
"id.": {
"0": "cfg1",
"1": "cfg2",
"2": "cfg3",
"3": "cfg4",
"4": "cfg5",
"5": "cfg6"
},
"weights.F": {
"0": 1,
"1": 1,
"2": 1,
"3": 1,
"4": 0.4,
"5": 0.4
},
"weights.P": {
"0": "-",
"1": "-",
"2": "-",
... | [
{
"id.": {
"0": "cfg1",
"1": "cfg2",
"2": "cfg3",
"3": "cfg4",
"4": "cfg5",
"5": "cfg6"
},
"weights.F": {
"0": "<obf>",
"1": "<obf>",
"2": "<obf>",
"3": "<obf>",
"4": "<obf>",
"5": "<obf>"
},
"weights.P": {
"0": "-",
... | [
{
"table_index": 1,
"caption": "Table 2: Demographics of our dataset of 107 Java projects",
"locations": [
{
"page_no": 7,
"bbox": {
"l": 320.7544250488281,
"t": 540.575439453125,
"r": 555.2611694335938,
"b": 473.236083984375,
"coor... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "Figure 1: An extended dependency graph rooted in p . This dependency graph for p (purple/dark squares and cir... | true | null | [
"Figure 2: Correctness of the solutions generated by different approaches and configurations",
"Figure 4: Cumulative cost of change of the solutions generated by different approaches and configurations",
"Figure 6: Time and memory for updating projects",
"Figure 7: Execution time distribution"
] | [
{
"description": "A bar chart showing the percentage rates of 'Compile' and 'Compile & Test' across seven different configurations (cfg4, mmP, cfg3, cfg1, cfg2, mMP, MMP). Values are reported as percentages corresponding to the numeric labels on each bar.",
"data": [
{
"configuration": "cfg4",... | [
"{\"data\": [{\"configuration\": \"cfg4\", \"Compile (%)\": \"<obf>\", \"Compile & Test (%)\": \"<obf>\"}, {\"configuration\": \"mmP\", \"Compile (%)\": \"<obf>\", \"Compile & Test (%)\": \"<obf>\"}, {\"configuration\": \"cfg3\", \"Compile (%)\": \"<obf>\", \"Compile & Test (%)\": \"<obf>\"}, {\"configuration\": \"... | |
lasapp | 1c47925c6c618b9b779992850641edce3ba48d0af3db6a21a6d12de097db5bf2 | [] | [] | [] | [
{
"table_index": 0,
"caption": "Table 1: Lines of code needed to add LASAPP support for various PPLs and probability distribution back-ends.",
"locations": [
{
"page_no": 3,
"bbox": {
"l": 331.6434020996094,
"t": 262.339599609375,
"r": 544.168029785156... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 3,
"caption": "Figure 1: Overview of the ... | false | no_reproduction_targets | [] | [] | [] | |
mutation | aa18fea3dbb4851800c40a7fcc3023ad6fb154d816a4df54bb8cd3a927f2bd27 | [
"Table 1: Experimental Subject Programs",
"Table 2: Method Exit Anomalies"
] | [
{
"Subject Project": {
"0": "commons-cli",
"1": "joda-money",
"2": "cdk-data",
"3": "jline-reader",
"4": "commons-valid.",
"5": "commons-codec",
"6": "spotify-web-api",
"7": "commons-text",
"8": "dyn4j",
"9": "jfreechart"
},
"KLoC": {
"0"... | [
{
"Subject Project": {
"0": "commons-cli",
"1": "joda-money",
"2": "cdk-data",
"3": "jline-reader",
"4": "commons-valid.",
"5": "commons-codec",
"6": "spotify-web-api",
"7": "commons-text",
"8": "dyn4j",
"9": "jfreechart"
},
"KLoC": {
"0"... | [] | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 3,
"caption": "Figure 1: Illustrating the... | true | null | [
"Figure 4: Ripples of mutations - Sankey diagram per project",
"Figure 5: Surviving mutants that are killable by current tests",
"Figure 6: Sankey diagram aggregated by mutation operators"
] | [
{
"description": "Explicitly labeled percentage distributions across the stages of execution/infection/propagation/revealability (RIPR model) for ten software projects. Keys represent the project name and the percentage values for Infection (NI: not infected, I: infected), Propagation (NP: not propagated, P: pr... | [
"{\"data\": [{\"project\": \"cdk-data\", \"infection_NI_percent\": \"<obf>\", \"infection_I_percent\": \"<obf>\", \"propagation_from_NI_NP_percent\": \"<obf>\", \"propagation_from_NI_P_percent\": \"<obf>\", \"propagation_from_I_NP_percent\": \"<obf>\", \"propagation_from_I_P_percent\": \"<obf>\", \"revealability_PS... | |
neurojit | 4ae34bedae4ec72336d172f8e3438182486d5349bc033e0a8664912511a2069c | [
"Table 2: Summarized Statistics of Dataset",
"Table 3: Average Ratios of Actionable Features within Top 5 Contribution Rankings of LIME Explanations"
] | [
{
"Project": {
"0": "ActiveMQ",
"1": "Camel",
"2": "Flink",
"3": "Groovy",
"4": "Cassandra",
"5": "HBase",
"6": "Hive",
"7": "Ignite",
"8": ""
},
"# Defective Commits": {
"0": "285 (11.79%)",
"1": "481 (7.88%)",
"2": "334 (11.29%)",... | [
{
"Project": {
"0": "ActiveMQ",
"1": "Camel",
"2": "Flink",
"3": "Groovy",
"4": "Cassandra",
"5": "HBase",
"6": "Hive",
"7": "Ignite",
"8": ""
},
"# Defective Commits": {
"0": "<obf> (<obf>%)",
"1": "<obf> (<obf>%)",
"2": "<obf> (<o... | [
{
"table_index": 0,
"caption": "Table 1: Commit Understandability Features of NeuroJIT and Their Evidence",
"locations": [
{
"page_no": 3,
"bbox": {
"l": 52.84231185913086,
"t": 686.4656982421875,
"r": 558.8575439453125,
"b": 207.694030761718... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 3,
"caption": "Figure 1: Process of Colle... | true | null | [
"Figure 2: Correlations of Features in Each Group",
"Figure 4: Predictive Power of Understandability Features",
"Figure 5: Set Relationships between True Positives Predicted by Understandability Models and Baseline Models"
] | [
{
"description": "Lower-triangular correlation matrix showing pairwise correlation coefficients (expressed as percentages / multiplied by 100) among baseline features (a), understandability features (b), and combined features (c). Each entry corresponds to a row feature and column feature pair.",
"data": [
... | [
"{\"data\": [{\"feature\": \"NUC\", \"correlations\": {\"LA\": \"<obf>\"}}, {\"feature\": \"LT\", \"correlations\": {\"LA\": \"<obf>\", \"NUC\": \"<obf>\"}}, {\"feature\": \"LD\", \"correlations\": {\"LA\": \"<obf>\", \"NUC\": \"<obf>\", \"LT\": \"<obf>\"}}, {\"feature\": \"Entropy\", \"correlations\": {\"LA\": \"<... | |
pmsat | bfc4d5969e9205b5ddc1f1d0efe3a7316a1d09546a29d92765a0408ede91c11f | [
"Table 2: Statistics of inferring ping-pong server with different 𝑛 as parameter, with 𝑛 𝑟𝑒𝑎𝑐ℎ dominant reachable states, number of glitches and different statistics of frequencies (fr.) for glitched 𝛿 𝑔 and dominant 𝛿 transitions.",
"Table 4: Statistics of inferring the APC with different 𝑛 as paramete... | [
{
"𝑛": {
"0": 3,
"1": 4,
"2": 5,
"3": 6,
"4": 7
},
"𝑛 𝑟𝑒𝑎𝑐ℎ": {
"0": 3,
"1": 4,
"2": 4,
"3": 4,
"4": 4
},
"# Glitches": {
"0": 31,
"1": 5,
"2": 4,
"3": 4,
"4": 4
},
"Mean 𝛿 𝑔 fr.": {
"... | [
{
"𝑛": {
"0": "<obf>",
"1": "<obf>",
"2": "<obf>",
"3": "<obf>",
"4": "<obf>"
},
"𝑛 𝑟𝑒𝑎𝑐ℎ": {
"0": "<obf>",
"1": "<obf>",
"2": "<obf>",
"3": "<obf>",
"4": "<obf>"
},
"# Glitches": {
"0": "<obf>",
"1": "<obf>",
"2... | [
{
"table_index": 0,
"caption": "Table 1: Summary of variables for inferring automata with states S from traces T with inputs I and outputs O .",
"locations": [
{
"page_no": 3,
"bbox": {
"l": 331.2044982910156,
"t": 675.6135177612305,
"r": 544.365112304... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 3,
"caption": "(a) Moore machine of simpl... | true | null | [
"(a) Inferred stochastic Moore machine with 𝑛 = 3 states of ping-pong server with 31 glitches",
"(a) Percentage of correctly inferred models based on 𝑛 and the output alphabet size, 50 experiments over all different percentages of discarded trace steps.",
"(d) Average solving time based on 𝑛 and different ty... | [
{
"description": "State transition graph data showing states, actions, transition targets, and their corresponding frequencies (counts).",
"data": [
{
"from": "off",
"to": "off",
"action": "ping",
"count": 69
},
{
"from": "off",
"to": "ack",
... | [
"{\"data\": [{\"from\": \"off\", \"to\": \"off\", \"action\": \"ping\", \"count\": \"<obf>\"}, {\"from\": \"off\", \"to\": \"ack\", \"action\": \"connect\", \"count\": \"<obf>\"}, {\"from\": \"off\", \"to\": \"pong\", \"action\": \"ping\", \"count\": \"<obf>\"}, {\"from\": \"ack\", \"to\": \"ack\", \"action\": \"co... | |
ppt4j | badd52654f8b11f26ce4c18911586e332e4c5198a8d67c24424b2ee4e686f2b6 | [] | [] | [] | [
{
"table_index": 0,
"caption": "Table 1: List of vulnerabilities selected from Vul4J [4]",
"locations": [
{
"page_no": 7,
"bbox": {
"l": 79.1219711303711,
"t": 686.5258712768555,
"r": 532.426025390625,
"b": 491.026611328125,
"coord_... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "Figure 2: Overall approach of Ppt4J",
"reason": "not_structured_data"
},
{
"figure_index": 2,
"caption": "Figure 3: The railroad diagram that illustrates feature types selected... | true | null | [
"Figure 9: Test results for different variants of Ppt4J"
] | [
{
"description": "Grouped bar chart showing performance metrics (Accuracy, Precision, Recall, F1 Score) across four model configurations: PPT4J_FULL, PPT4J_Δ1, PPT4J_Δ2, and PPT4J_Δ3.",
"data": [
{
"Configuration": "PPT4J_FULL",
"Accuracy": 0.985,
"Precision": 1,
"Recal... | [
"{\"data\": [{\"Configuration\": \"PPT4J_FULL\", \"Accuracy\": \"<obf>\", \"Precision\": \"<obf>\", \"Recall\": \"<obf>\", \"F1 Score\": \"<obf>\"}, {\"Configuration\": \"PPT4J_\\u03941\", \"Accuracy\": \"<obf>\", \"Precision\": \"<obf>\", \"Recall\": \"<obf>\", \"F1 Score\": \"<obf>\"}, {\"Configuration\": \"PPT4J... | |
provenfix | ee880878ac19b130410036508d13ba768bffa07f9ed613b425dc44b195444926 | [
"Table 2. Experimental results for analyzing 10 C projects, comparing with Infer-v1.1.0. Columns #NPD , #ML and #RL record the numbers of null pointer dereferences, memory leaks, and resource leaks, respectively. The numbers of false positives found by Infer and more true positives found by ProveNFix are represente... | [
{
"Project.Project": {
"0": "Swoole(a4256e4)",
"1": "lxc(72cc48f)",
"2": "WavPack(22977b2)",
"3": "flex(d3de49f)",
"4": "p11-kit",
"5": "x264(d4099dd)",
"6": "recutils-1.8",
"7": "inetutils-1.9.4",
"8": "snort-2.9.13",
"9": "grub(c6b9a0a)",
"10":... | [
{
"Project.Project": {
"0": "Swoole(a4256e4)",
"1": "lxc(72cc48f)",
"2": "WavPack(22977b2)",
"3": "flex(d3de49f)",
"4": "p11-kit",
"5": "x264(d4099dd)",
"6": "recutils-1.8",
"7": "inetutils-1.9.4",
"8": "snort-2.9.13",
"9": "grub(c6b9a0a)",
"10":... | [
{
"table_index": 0,
"caption": "Table 1. Summary of the Annotated API Specifications.",
"locations": [
{
"page_no": 15,
"bbox": {
"l": 51.59090042114258,
"t": 613.3089370727539,
"r": 431.8812561035156,
"b": 533.3761444091797,
"coord... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "Fig. 8. System Overview.",
"reason": "not_structured_data"
}
] | true | null | [] | [] | [] | |
roam | 920b33d9afb339f2cdabbf036f0ecb16d0ad3a72f7ddfd7c12fef22dc7d67f4c | [] | [] | [] | [
{
"table_index": 0,
"caption": "Table 1. Bug Report Step Information",
"locations": [
{
"page_no": 10,
"bbox": {
"l": 106.13656616210938,
"t": 613.2817459106445,
"r": 379.4844970703125,
"b": 553.7373046875,
"coord_origin": "BOTTOMLE... | [
{
"figure_index": 0,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 1,
"caption": "",
"reason": "missing_caption"
},
{
"figure_index": 2,
"caption": "Fig. 2. The Actual UI Interactions to Replay the Steps",
"reason": "not_structured_data"
},
{
"fi... | true | null | [
"Fig. 5. Reproduction Rate of Each Approach on Bug Reports with Missing Steps"
] | [
{
"description": "Line chart showing the Reproduction Rate (%) across different minimum numbers of missing steps in a bug report (from 0 to 5) for four methods: Roam, ReproBot, ReCDroid, and Yakusu. Data values are extracted from explicit data labels and plotted points on the chart.",
"data": [
{
... | [
"{\"data\": [{\"Minimum Number of Missing Steps in a Bug Report\": \"<obf>\", \"Roam\": \"<obf>\", \"ReproBot\": \"<obf>\", \"ReCDroid\": \"<obf>\", \"Yakusu\": \"<obf>\"}, {\"Minimum Number of Missing Steps in a Bug Report\": \"<obf>\", \"Roam\": \"<obf>\", \"ReproBot\": \"<obf>\", \"ReCDroid\": \"<obf>\", \"Yakus... |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 266