Proceedings of the 35th International Conference on Software Maintenance and Evolution
ICSME, 2019.

@proceedings{ICSME-2019,
	ee            = "https://ieeexplore.ieee.org/xpl/conhome/8910135/proceeding",
	isbn          = "978-1-7281-3094-1",
	publisher     = "{IEEE}",
	title         = "{Proceedings of the 35th International Conference on Software Maintenance and Evolution}",
	year          = 2019,
}

Contents (95 items)

ICSME-2019-KhalilCMDQ #analysis #debugging #eclipse

A Longitudinal Analysis of Bug Handling Across Eclipse Releases (ZAK, EC, TM, LD, CQ), pp. 1–12.

ICSME-2019-ZimmermannA #case study #debugging #open source

Impact of Switching Bug Trackers: A Case Study on a Medium-Sized Open Source Project (TZ, ACA), pp. 13–23.

ICSME-2019-KucukHP #fault #locality #statistics

The Impact of Rare Failures on Statistical Fault Localization: The Case of the Defects4J Suite (YK, TADH, AP), pp. 24–28.

ICSME-2019-0002AGLX #energy #maintenance #question

Do Energy-Oriented Changes Hinder Maintainability? (LC0, RA, JCG, LL, XX0), pp. 29–40.

ICSME-2019-VendomeSLL #android #empirical

Can Everyone use my app? An Empirical Study on Accessibility in Android Apps (CV, DS, SL, MLV), pp. 41–52.

ICSME-2019-LyuAH #mobile #performance #sql

Quantifying the Performance Impact of SQL Antipatterns on Mobile Applications (YL, AA, WGJH), pp. 53–64.

ICSME-2019-WanAAH #android #empirical #implementation #user interface

An Empirical Study of UI Implementations in Android Applications (MW, NA, AA, WGJH), pp. 65–75.

ICSME-2019-SrisophaPLB

Same App, Different Countries: A Preliminary User Reviews Study on Most Downloaded iOS Apps (KS, CP, KL, BWB), pp. 76–80.

ICSME-2019-SarkarRB #debugging #predict

Improving Bug Triaging with High Confidence Predictions at Ericsson (AS, PCR, BB), pp. 81–91.

ICSME-2019-RwemalikaKPTL #debugging #difference #industrial

An Industrial Study on the Differences between Pre-Release and Post-Release Bugs (RR, MK, MP, YLT, PL), pp. 92–102.

ICSME-2019-MillsEBKCH #classification #learning #traceability

Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery (CM, JEA, AB, GK, SC, SH), pp. 103–113.

ICSME-2019-BarbezKG #anti #learning #metric

Deep Learning Anti-Patterns from Code Metrics History (AB, FK, YGG), pp. 114–124.

ICSME-2019-AnuCSH0Q #approach #recommendation

An Approach to Recommendation of Verbosity Log Levels Based on Logging Intention (HA, JC, WS, JH, BL0, BQ), pp. 125–134.

ICSME-2019-GonzalezHM #automation

Automated Characterization of Software Vulnerabilities (DG, HH, MM), pp. 135–139.

ICSME-2019-PalacioMMBPS #identification #learning #network #using

Learning to Identify Security-Related Issues Using Convolutional Neural Networks (DNP, DM, KM, CBC, DP, CS), pp. 140–144.

ICSME-2019-GaoWLYSC #approach #clone detection #detection #named

TECCD: A Tree Embedding Approach for Code Clone Detection (YG, ZW, SL, LY, WS, YC), pp. 145–156.

ICSME-2019-MondalRRS #adaptation #debugging

Investigating Context Adaptation Bugs in Code Clones (MM, BR, CKR, KAS), pp. 157–168.

ICSME-2019-AnquetilEAD

Decomposing God Classes at Siemens (NA, AE, GA, SD), pp. 169–180.

ICSME-2019-AlmeidaTK #framework #named #technical debt

Tracy: A Business-Driven Technical Debt Prioritization Framework (RRdA, CT, UK), pp. 181–185.

ICSME-2019-IammarinoZAP #question #refactoring #self #technical debt

Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More? (MI, FZ, LA, MDP), pp. 186–190.

ICSME-2019-YangW #comprehension #identification

Identifying the Within-Statement Changes to Facilitate Change Understanding (CY, JW), pp. 191–201.

ICSME-2019-Hanam0H #comprehension #impact analysis #semantics

Aiding Code Change Understanding with Semantic Change Impact Analysis (QH, AM0, RH), pp. 202–212.

ICSME-2019-ThungKJ0 #android #api #generative #towards

Towards Generating Transformation Rules without Examples for Android API Replacement (FT, HJK, LJ, DL0), pp. 213–217.

ICSME-2019-ViggiatoOFJK #how #platform

How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation (MV, JO, EF, PJ, CK), pp. 218–222.

ICSME-2019-CatolinoPZF #development #experience #how

How the Experience of Development Teams Relates to Assertion Density of Test Classes (GC, FP, AZ, FF), pp. 223–234.

ICSME-2019-Zhang00HM #automation

Automatic Discovery and Cleansing of Numerical Metamorphic Relations (BZ, HZ0, JC0, DH, PM), pp. 235–245.

ICSME-2019-Zhang00HM19a #automation #named

AutoMR: Automatic Discovery and Cleansing of Numerical Metamorphic Relations (BZ, HZ0, JC0, DH, PM), p. 246.

ICSME-2019-ZaidAM #automation #identification

Automated Identification of Over-Privileged SmartThings Apps (AAZ, MHA, AM), pp. 247–251.

ICSME-2019-NeupaneCW #approach #development #named

EmoD: An End-to-End Approach for Investigating Emotion Dynamics in Software Development (KN, KC, YW), pp. 252–256.

ICSME-2019-SunXCBW0 #graph #programming

Know-How in Programming Tasks: From Textual Tutorials to Task-Oriented Knowledge Graph (JS, ZX, RC, HB, JW, XP0), pp. 257–268.

ICSME-2019-NewmanDAPKH #empirical

An Empirical Study of Abbreviations and Expansions in Software Artifacts (CDN, MJD, RSA, AP, DK, EH0), pp. 269–279.

ICSME-2019-NewmanDAPKH19a #dataset #open data

An Open Dataset of Abbreviations and Expansions (CDN, MJD, RSA, AP, DK, EH0), p. 280.

ICSME-2019-AlhamedS

Estimating Software Task Effort in Crowds (MA, TS), pp. 281–285.

ICSME-2019-ElazharySEZ #git #guidelines #process #question

Do as I Do, Not as I Say: Do Contribution Guidelines Match the GitHub Contribution Process? (OE, MADS, NAE, AZ), pp. 286–290.

ICSME-2019-DurieuxAMB0 #analysis

An Analysis of 35+ Million Jobs of Travis CI (TD, RA, MM, TFB, LC0), pp. 291–295.

ICSME-2019-TushevKM #open source

Linguistic Change in Open Source Software (MT, SK, AM), pp. 296–300.

ICSME-2019-TufanoWBPWP #how #learning #source code

Learning How to Mutate Source Code from Bug-Fixes (MT, CW, GB, MDP, MW, DP), pp. 301–312.

ICSME-2019-NguyenVN #personalisation #recommendation

Personalized Code Recommendation (TN, PV, TN), pp. 313–317.

ICSME-2019-WongSCH #corpus #fault #stack overflow #syntax

Syntax and Stack Overflow: A Methodology for Extracting a Corpus of Syntax Errors and Fixes (AWW, AS, SAC, AH), pp. 318–322.

ICSME-2019-WangYQJM #ad hoc #named

BARRIERFINDER: Recognizing Ad Hoc Barriers (TW, XY, ZQ, GJ, FM), pp. 323–327.

ICSME-2019-AsadGS #automation #impact analysis #program repair #semantics

Impact Analysis of Syntactic and Semantic Similarities on Patch Prioritization in Automated Program Repair (MA, KKG, KS), pp. 328–332.

ICSME-2019-CummaudoVGAC #evolution #quality

Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services (AC, RV, JCG, MA, AC), pp. 333–342.

ICSME-2019-HosonoTMWHNSFMN #api #web

Inappropriate Usage Examples in Web API Documentations (MH, ST, SM, HW, KH, HN, HS, YF, KM, TN, YN), pp. 343–347.

ICSME-2019-JinCX #api #developer #question #what

What Do Developers Discuss about Biometric APIs? (ZJ, KYC, XX0), pp. 348–352.

ICSME-2019-GallagherFK #education #maintenance

Teaching Software Maintenance (KG, MF, SK), pp. 353–362.

ICSME-2019-LiuCLCRS #evolution #privacy

Continuous Collateral Privacy Risk Auditing of Evolving Autonomous Driving Software (CL, KC, ZL, ZC, DR, FS), p. 363.

ICSME-2019-WagnerBSG #challenge #cobol #framework #pl-i #platform

Challenges in re-Platforming Mixed Language PL/I and COBOL IS to an Open Systems Platform (TW, CB, SS, TG), p. 364.

ICSME-2019-LiYZ #kernel #linux

Application of Philosophical Principles in Linux Kernel Customization (HL, LY, XZ), p. 365.

ICSME-2019-Wright #lessons learnt #refactoring #scalability

Lessons Learned from Large-Scale Refactoring (HW), p. 366.

ICSME-2019-AungHS #interactive #traceability #using #visualisation

Interactive Traceability Links Visualization using Hierarchical Trace Map (TWWA, HH, YS), pp. 367–369.

ICSME-2019-GalsterTB #architecture #maintenance #recommendation

Supporting Software Architecture Maintenance by Providing Task-Specific Recommendations (MG, CT, KB), pp. 370–372.

ICSME-2019-WuLW #adaptation #self #validation

A Validation Method of Self-Adaptive Strategy Based on POMDP (TW, QL, LW), pp. 373–375.

ICSME-2019-NewmanPA #behaviour #identifier #modelling

Modeling the Relationship Between Identifier Name and Behavior (CDN, AP, RSA), pp. 376–378.

ICSME-2019-Shah #analysis #data type #framework #performance

Lib Metamorphosis: A Performance Analysis Framework for Exchanging Data Structures in Performance Sensitive Applications (MDS), pp. 379–381.

ICSME-2019-LevinY #dataset #scalability #source code

Processing Large Datasets of Fined Grained Source Code Changes (SL, AY), pp. 382–385.

ICSME-2019-MihanceaS #adaptation #detection #fault

CodeSonar (R) Extension for Copy-Paste-(Mis) Adapt Error Detection (PFM, RS), pp. 386–389.

ICSME-2019-NguyenVN19a #exception #recommendation

Recommending Exception Handling Code (TN, PV, TN), pp. 390–393.

ICSME-2019-GaoJJ00G #contract #debugging #detection #named

SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding (ZG, VJ, LJ, XX0, DL0, JCG), pp. 394–397.

ICSME-2019-ShimariI0I #debugging #execution #java #using

Near-Omniscient Debugging for Java Using Size-Limited Execution Trace (KS, TI, TK0, KI), pp. 398–401.

ICSME-2019-EdwardsJS #architecture #issue tracking #named

Sciit: Aligning Source Control Management and Issue Tracking Architectures (NE, DJ, TS), pp. 402–405.

ICSME-2019-KallisSCP #classification #machine learning

Ticket Tagger: Machine Learning Driven Issue Classification (RK, ADS, GC, SP), pp. 406–409.

ICSME-2019-Ravelo-MendezEL #android #named #testing

Kraken-Mobile: Cross-Device Interaction-Based Testing of Android Apps (WRM, CEV, MLV), pp. 410–413.

ICSME-2019-AlrubayeM0 #automation #detection #java #library #migration #named

MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level (HA, MWM, AO0), pp. 414–417.

ICSME-2019-Bello-JimenezML #android #named #testing

OPIA: A Tool for On-Device Testing of Vulnerabilities in Android Applications (LBJ, AMR, MLV, GB), pp. 418–421.

ICSME-2019-HataNNKH #android #named #source code

OSAIFU: A Source Code Factorizer on Android Studio (MH, MN, KN, HK, TH), pp. 422–425.

ICSME-2019-NeryCK #empirical #evolution #integration

An Empirical Study of the Relationship between Continuous Integration and Test Code Evolution (GSN, DAdC, UK), pp. 426–436.

ICSME-2019-AlsharifKM #automation #generative #sql #testing #what

What Factors Make SQL Test Cases Understandable for Testers? A Human Study of Automated Test Data Generation Techniques (AA, GMK, PM), pp. 437–448.

ICSME-2019-ZhaoDXQ #android #latency #testing

Systematically Testing and Diagnosing Responsiveness for Android Apps (WZ, ZD, MX, ZQ), pp. 449–453.

ICSME-2019-BraiekK #approach #named #network #search-based #testing

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks (HBB, FK), pp. 454–458.

ICSME-2019-ZhiYDYFX #case study #java

An Exploratory Study of Logging Configuration Practice in Java (CZ, JY, SD, MY, MF, TX), pp. 459–469.

ICSME-2019-Ha0 #configuration management #fourier #learning

Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression (HH, HZ0), pp. 470–480.

ICSME-2019-FritzschB0Z #challenge #industrial #migration

Microservices Migration in Industry: Intentions, Strategies, and Challenges (JF, JB, SW0, AZ), pp. 481–490.

ICSME-2019-KrismayerVRG #constraints #evolution #execution

Comparing Constraints Mined From Execution Logs to Understand Software Evolution (TK, MV, RR, PG), pp. 491–495.

ICSME-2019-FarhanaIR #execution

Synthesizing Program Execution Time Discrepancies in Julia Used for Scientific Software (EF, NI, AR), pp. 496–500.

ICSME-2019-YuTA #empirical

Comprehending Test Code: An Empirical Study (CSY, CT, MFA), pp. 501–512.

ICSME-2019-JohnsonLYAS #comprehension #empirical #readability #source code

An Empirical Study Assessing Source Code Readability in Comprehension (JJ, SL, NY, JA, BS), pp. 513–523.

ICSME-2019-OumazizF0BK #learning #product line

Handling Duplicates in Dockerfiles Families: Learning from Experts (MAO, JRF, XB0, TFB, JK), pp. 524–535.

ICSME-2019-RahmanRW #python #security #smell

Share, But be Aware: Security Smells in Python Gists (MRR, AR, LW), pp. 536–540.

ICSME-2019-Sae-LimHS #automation #impact analysis #predict #question

Can Automated Impact Analysis Techniques Help Predict Decaying Modules? (NSL, SH, MS), pp. 541–545.

ICSME-2019-BognerF0Z #challenge #industrial

Assuring the Evolvability of Microservices: Insights into Industry Practices and Challenges (JB, JF, SW0, AZ), pp. 546–556.

ICSME-2019-SasAF #architecture #case study #evolution #smell

Investigating Instability Architectural Smells Evolution: An Exploratory Case Study (DS, PA, FAF), pp. 557–567.

ICSME-2019-CokerWGBS #debugging #framework

A Qualitative Study on Framework Debugging (ZC, DGW, CLG, CB, JS), pp. 568–579.

ICSME-2019-GuerrieroGTP #challenge #industrial

Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry (MG, MG, DAT, FP), pp. 580–589.

ICSME-2019-Khalil #debugging #performance #policy

Studying the Impact of Policy Changes on Bug Handling Performance (ZAK), pp. 590–594.

ICSME-2019-Dobrean #architecture #automation #mobile

Automatic Examining of Software Architectures on Mobile Applications Codebases (DD), pp. 595–599.

ICSME-2019-Alqadi #complexity #fault #probability

The Relationship Between Cognitive Complexity and the Probability of Defects (BSA), pp. 600–604.

ICSME-2019-Almeida #technical debt

Business-Driven Technical Debt Prioritization (RRdA), pp. 605–609.

ICSME-2019-Alsuhaibani #identification #identifier #markov #modelling

Applying Markov Models to Identify Grammatical Patterns of Function Identifiers (RSA), pp. 610–614.

ICSME-2019-Guarnera #eye tracking #source code

Enhancing Eye Tracking of Source Code: A Specialized Fixation Filter for Source Code (DTG), pp. 615–618.

ICSME-2019-Gallaba #deployment #integration #performance #robust

Improving the Robustness and Efficiency of Continuous Integration and Deployment (KG), pp. 619–623.

ICSME-2019-AlOmar #comprehension #developer #refactoring #towards

Towards Better Understanding Developer Perception of Refactoring (EAA), pp. 624–628.

ICSME-2019-Kashiwa #named #optimisation

RAPTOR: Release-Aware and Prioritized Bug-Fixing Task Assignment Optimization (YK), pp. 629–633.

ICSME-2019-Alshoaibi #performance

Characterizing Performance Regression Introducing Code Changes (DA), pp. 634–638.

ICSME-2019-Peruma #identifier #towards

Towards a Model to Appraise and Suggest Identifier Names (AP), pp. 639–643.

ICSME-2019-Imran #analysis #design #detection #java #open source #smell

Design Smell Detection and Analysis for Open Source Java Software (AI), pp. 644–648.