smell

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smell

Tag #smell

127 papers:

ICSA-2019-TianLB #architecture #case study #developer #how #stack overflow

How Developers Discuss Architecture Smells? An Exploratory Study on Stack Overflow (FT, PL0, MAB), pp. 91–100.

ICPC-2019-FilhoMVMSMR #sql

Prevalence of bad smells in PL/SQL projects (FGdAF, ADFM, TdSV, JMM, ÍPdS, JdCM, LSR), pp. 116–121.

ICPC-2019-PecorelliPNL #detection #heuristic #machine learning

Comparing heuristic and machine learning approaches for metric-based code smell detection (FP, FP, DDN, ADL), pp. 93–104.

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

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

ICSME-2019-RahmanRW #python #security

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

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

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

MSR-2019-BleserNR #scala

Assessing diffusion and perception of test smells in scala projects (JDB, DDN, CDR), pp. 457–467.

MSR-2019-HabchiMR #android #question

The rise of Android code smells: who is to blame? (SH, NM, RR), pp. 445–456.

ESEC-FSE-2019-Khanve #empirical #game studies #web

Are existing code smells relevant in web games? an empirical study (VK), pp. 1241–1243.

ICSE-2019-LiC0S #detection #named

Dlfinder: characterizing and detecting duplicate logging code smells (ZL, TH(C, JY0, WS), pp. 152–163.

ICSE-2019-RahmanPW #framework #security

The seven sins: security smells in infrastructure as code scripts (AR, CP, LW), pp. 164–175.

ECSA-2018-MartiniFBR #architecture #case study #identification #scalability

Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company (AM, FAF, AB, RR), pp. 320–335.

ICPC-2018-TakahashiSHS #case study #debugging #locality #using

A preliminary study on using code smells to improve bug localization (AT, NSL, SH, MS), pp. 324–327.

ICSME-2018-PalombaZL #automation #detection #information retrieval #using

Automatic Test Smell Detection Using Information Retrieval Techniques (FP, AZ, ADL), pp. 311–322.

ICSME-2018-SpadiniPZBB #on the #quality

On the Relation of Test Smells to Software Code Quality (DS, FP, AZ, MB, AB), pp. 1–12.

SANER-2018-FakhouryANKA #detection #learning #question

Keep it simple: Is deep learning good for linguistic smell detection? (SF, VA, CN, FK, GA), pp. 602–611.

SANER-2018-NucciPTSL #detection #machine learning #question #using

Detecting code smells using machine learning techniques: Are we there yet? (DDN, FP, DAT, AS, ADL), pp. 612–621.

SANER-2018-TsantalisCC #lessons learnt

Ten years of JDeodorant: Lessons learned from the hunt for smells (NT, TC, AC), pp. 4–14.

SCAM-2018-DeckerNDCMK #question #research

[Research Paper] Which Method-Stereotype Changes are Indicators of Code Smells? (MJD, CDN, ND, MLC, JIM, NAK), pp. 82–91.

SCAM-2018-PaceTG #architecture #predict #research #towards #using

[Research Paper] Towards Anticipation of Architectural Smells Using Link Prediction Techniques (JADP, AT, DG), pp. 62–71.

ICSE-2018-PalombaBPFOL #empirical #maintenance #on the #scalability

On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (FP, GB, MDP, FF, RO, ADL), p. 482.

ICSE-2018-PalombaPZOL #comparison

The scent of a smell: an extensive comparison between textual and structural smells (FP, AP, AZ, RO, ADL), p. 740.

ICPC-2017-HozanoGAFC #detection #developer #exclamation #performance

Smells are sensitive to developers!: on the efficiency of (un)guided customized detection (MH, AG, NA, BF, EdBC), pp. 110–120.

ICPC-2017-SousaSFFB #composition #detection #flexibility #named

FindSmells: flexible composition of bad smell detection strategies (BLS, PPS, EF, KAMF, MASB), pp. 360–363.

ICSME-2017-PalombaZ #question #refactoring #testing

Does Refactoring of Test Smells Induce Fixing Flaky Tests? (FP, AZ), pp. 1–12.

ICSME-2017-Sae-LimHS #case study #developer #how

How Do Developers Select and Prioritize Code Smells? A Preliminary Study (NSL, SH, MS), pp. 484–488.

SANER-2017-CaretteYHMR #android #energy

Investigating the energy impact of Android smells (AC, MAAY, GH, NM, RR), pp. 115–126.

SANER-2017-PalombaNPZL #detection #lightweight

Lightweight detection of Android-specific code smells: The aDoctor project (FP, DDN, AP, AZ, ADL), pp. 487–491.

SANER-2017-SabouryMKA #empirical #javascript

An empirical study of code smells in JavaScript projects (AS, PM, FK, GA), pp. 294–305.

SANER-2017-Steinbeck #approach #visualisation

An arc-based approach for visualization of code smells (MS), pp. 397–401.

SCAM-2017-GhafariGN #android #security

Security Smells in Android (MG, PG, ON), pp. 121–130.

SCAM-2017-NagyC #detection #embedded #java #query #sql

A Static Code Smell Detector for SQL Queries Embedded in Java Code (CN0, AC), pp. 147–152.

ESEC-FSE-2017-CedrimGMGSMFRC #comprehension #refactoring

Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects (DC, AG, MM, RG, LdSS, RMdM, BF, MR, AC), pp. 465–475.

SLE-2017-StijlaartZ #taxonomy #towards

Towards a Taxonomy of Grammar Smells (MS, VZ), pp. 43–54.

ICPC-2016-HermansA #empirical #programming #source code

Do code smells hamper novice programming? A controlled experiment on Scratch programs (FH, EA), pp. 1–10.

ICPC-2016-PalombaPLOZ #detection

A textual-based technique for Smell Detection (FP, AP, ADL, RO, AZ), pp. 1–10.

ICPC-2016-Sae-LimHS

Context-based code smells prioritization for prefactoring (NSL, SH, MS), pp. 1–10.

ICPC-2016-YoshidaSC0I #refactoring

Revisiting the relationship between code smells and refactoring (NY, TS, EC, AO0, KI), pp. 1–4.

ICSME-2016-AnicheBTDG #architecture #mvc #set

A Validated Set of Smells in Model-View-Controller Architectures (MFA, GB, CT, AvD, MAG), pp. 233–243.

ICSME-2016-FontanaPRZ #architecture #automation #detection

Automatic Detection of Instability Architectural Smells (FAF, IP, RR, MZ), pp. 433–437.

ICSME-2016-Palomba #detection

Alternative Sources of Information for Code Smell Detection: Postcards from Far Away (FP), pp. 636–640.

ICSME-2016-PalombaZFLO #debugging #performance #predict #using

Smells Like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells (FP, MZ, FAF, ADL, RO), pp. 244–255.

MSR-2016-SharmaFS #question

Does your configuration code smell? (TS, MF, DS), pp. 189–200.

SANER-2016-FontanaDWYZ #classification #concept

Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification (FAF, JD0, BW, AY, MZ), pp. 609–613.

SANER-2016-SohYKG #maintenance #process #programming #question

Do Code Smells Impact the Effort of Different Maintenance Programming Activities? (ZS, AY, FK, YGG), pp. 393–402.

ASE-2016-TufanoPBPOLP #empirical

An empirical investigation into the nature of test smells (MT, FP, GB, MDP, RO, ADL, DP), pp. 4–15.

FSE-2016-DouCGXXW #detection #spreadsheet

Detecting table clones and smells in spreadsheets (WD, SCC, CG, CX0, LX, JW0), pp. 787–798.

ICSE-2016-CheungCLX #automation #clustering #detection #named #spreadsheet #using

CUSTODES: automatic spreadsheet cell clustering and smell detection using strong and weak features (SCC, WC, YL, CX0), pp. 464–475.

WICSA-2015-MoCKX #architecture #automation #detection

Hotspot Patterns: The Formal Definition and Automatic Detection of Architecture Smells (RM, YC, RK, LX), pp. 51–60.

ICSME-2015-Aniche #detection #development #web

Detection strategies of smells in web software development (MFA), pp. 598–601.

ICSME-2015-Fenske #configuration management

Code smells in highly configurable software (WF), pp. 602–605.

ICSME-2015-JansenH #dataset #industrial #spreadsheet

Code smells in spreadsheet formulas revisited on an industrial dataset (BJ, FH), pp. 372–380.

ICSME-2015-YamashitaZFW #analysis #comparative #industrial #open source #replication

Inter-smell relations in industrial and open source systems: A replication and comparative analysis (AY, MZ, FAF, BW), pp. 121–130.

MSR-2015-PalombaNTBOPL #dataset #evaluation #named #open data

Landfill: An Open Dataset of Code Smells with Public Evaluation (FP, DDN, MT, GB, RO, DP, ADL), pp. 482–485.

SCAM-2015-FenskeSMS #detection #variability

When code smells twice as much: Metric-based detection of variability-aware code smells (WF, SS, DM, GS), pp. 171–180.

SCAM-2015-SzokeNFFG #automation #named #refactoring #tool support

FaultBuster: An automatic code smell refactoring toolset (GS, CN, LJF, RF, TG), pp. 253–258.

GaM-2015-RadwanH #detection #refactoring

Detecting and Refactoring Operational Smells within the Domain Name System (MR, RH), pp. 113–128.

KDD-2015-WickerKDSBKW0 #data mining #mining

Cinema Data Mining: The Smell of Fear (JW, NK, BD, CS, EB, TK, JW, SK), pp. 1295–1304.

ICSE-v1-2015-TufanoPBOPLP #why

When and Why Your Code Starts to Smell Bad (MT, FP, GB, RO, MDP, ADL, DP), pp. 403–414.

ICSE-v2-2015-Palomba #analysis #detection

Textual Analysis for Code Smell Detection (FP), pp. 769–771.

SAC-2015-AlmeidaCS0 #towards #usability

Towards a catalog of usability smells (DA, JCC, JS, JCS), pp. 175–181.

SAC-2015-HozanoFSFC #detection #developer #feedback #using

Using developers’ feedback to improve code smell detection (MH, HF, ICLS, BF, EC), pp. 1661–1663.

SAC-2015-OmatuYI #classification #learning

Smell classification of wines by the learning vector quantization method (SO, MY, YI), pp. 195–200.

ICSME-2014-AbreuCFMPS #fault #spreadsheet

Smelling Faults in Spreadsheets (RA, JC, JPF, PM, AP, JS), pp. 111–120.

ICSME-2014-AbreuCFMPS14a #detection #fault #locality

FaultySheet Detective: When Smells Meet Fault Localization (RA, JC, JPF, PM, AP, JS), pp. 625–628.

ICSME-2014-PalombaBPOL #case study #developer

Do They Really Smell Bad? A Study on Developers’ Perception of Bad Code Smells (FP, GB, MDP, RO, ADL), pp. 101–110.

CHI-2014-ObristTH #case study #experience

Opportunities for odor: experiences with smell and implications for technology (MO, ANT, KH), pp. 2843–2852.

CHI-2014-SeahPBKOKCS #named

SensaBubble: a chrono-sensory mid-air display of sight and smell (SAS, DMP, PDB, AK, VSO, JK, AC, SS), pp. 2863–2872.

CAiSE-2014-PadilhaPFAGS #detection #effectiveness #empirical #metric #on the

On the Effectiveness of Concern Metrics to Detect Code Smells: An Empirical Study (JP, JAP, EF, JMA, AG, CS), pp. 656–671.

ICSE-2014-DouCW #ambiguity #detection #spreadsheet

Is spreadsheet ambiguity harmful? detecting and repairing spreadsheet smells due to ambiguous computation (WD, SCC, JW), pp. 848–858.

SAC-2014-OmatuY #classification #using

Smell classification using weakly responding data (SO, MY), pp. 213–214.

ICSM-2013-FontanaFMWM #empirical #quality

Investigating the Impact of Code Smells on System’s Quality: An Empirical Study on Systems of Different Application Domains (FAF, VF, AM, BW, PM), pp. 260–269.

ICSM-2013-FontanaZMM #approach #detection #machine learning #towards

Code Smell Detection: Towards a Machine Learning-Based Approach (FAF, MZ, AM, MM), pp. 396–399.

ICSM-2013-LiguCCY #identification

Identification of Refused Bequest Code Smells (EL, AC, TC, NY), pp. 392–395.

ICSM-2013-Perez #design #lessons learnt #refactoring #summary

Refactoring Planning for Design Smell Correction: Summary, Opportunities and Lessons Learned (JP), pp. 572–577.

ICSM-2013-Yamashita #case study #comparative #how #maintenance

How Good Are Code Smells for Evaluating Software Maintainability? Results from a Comparative Case Study (AY), pp. 566–571.

MSR-2013-GreilerZDS #evolution

Strategies for avoiding text fixture smells during software evolution (MG, AZ, AvD, MADS), pp. 387–396.

SCAM-2013-FardM #detection #javascript #named

JSNOSE: Detecting JavaScript Code Smells (AMF, AM), pp. 116–125.

WCRE-2013-YamashitaM #developer #overview

Do developers care about code smells? An exploratory survey (AFY, LM), pp. 242–251.

AMT-2013-TichyKL #detection #model transformation #performance

Detecting Performance Bad Smells for Henshin Model Transformations (MT, CK, GL), pp. 82–91.

ASE-2013-PalombaBPOLP #detection #source code #using

Detecting bad smells in source code using change history information (FP, GB, MDP, RO, ADL, DP), pp. 268–278.

ICSE-2013-GauthierM #case study #data access #fault #modelling #php #semantics

Semantic smells and errors in access control models: a case study in PHP (FG, EM), pp. 1169–1172.

ICSE-2013-HauptmannJEHVB #natural language #testing

Hunting for smells in natural language tests (BH, MJ, SE, LH, RV, PB), pp. 1217–1220.

ICSE-2013-YamashitaM #empirical #maintenance

Exploring the impact of inter-smell relations on software maintainability: an empirical study (AFY, LM), pp. 682–691.

ICST-2013-GreilerDS #automation #detection

Automated Detection of Test Fixture Strategies and Smells (MG, AvD, MADS), pp. 322–331.

CSMR-2012-Gall #debugging

Keynote 1: LGTM — Software Sensing and Bug Smelling (HCG), pp. 3–4.

CSMR-2012-PetersZ #mining #repository #using

Evaluating the Lifespan of Code Smells using Software Repository Mining (RP, AZ), pp. 411–416.

ICSM-2012-BavotaQOLB #analysis #empirical #maintenance #testing

An empirical analysis of the distribution of unit test smells and their impact on software maintenance (GB, AQ, RO, ADL, DB), pp. 56–65.

ICSM-2012-HermansPD #detection #spreadsheet

Detecting code smells in spreadsheet formulas (FH, MP, AvD), pp. 409–418.

ICSM-2012-YamashitaM #aspect-oriented #maintenance #question

Do code smells reflect important maintainability aspects? (AFY, LM), pp. 306–315.

WCRE-2012-AbebeATAG #fault #predict #question

Can Lexicon Bad Smells Improve Fault Prediction? (SLA, VA, PT, GA, YGG), pp. 235–244.

ASE-2012-NguyenNNNN #detection #embedded #web

Detection of embedded code smells in dynamic web applications (HVN, HAN, TTN, ATN, TNN), pp. 282–285.

ICSE-2012-AlvesSF #named

ConcernReCS: Finding code smells in software aspectization (PA, DS, EF), pp. 1463–1464.

ICSE-2012-HermansPD #detection #spreadsheet #visualisation

Detecting and visualizing inter-worksheet smells in spreadsheets (FH, MP, AvD), pp. 441–451.

CSEET-2011-ChenT #programming #quality

Grading code quality of programming assignments based on bad smells (WKC, PYT), p. 559.

SCAM-2011-AbebeHTM #concept #source code

The Effect of Lexicon Bad Smells on Concept Location in Source Code (SLA, SH, PT, AM), pp. 125–134.

CIKM-2011-LoumakisSG #image

This image smells good: effects of image information scent in search engine results pages (FL, SS, DG), pp. 475–484.

ICSE-2011-Bertran #architecture #detection #evolution

Detecting architecturally-relevant code smells in evolving software systems (IMB), pp. 1090–1093.

ICSE-2011-OlivetoGBPL #identification

Identifying method friendships to remove the feature envy bad smell (RO, MG, GB, DP, ADL), pp. 820–823.

CSMR-2010-RoubtsovSB #composition #dependence #detection #injection #java

Detecting Modularity “Smells” in Dependencies Injected with Java Annotations (SAR, AS, MvdB), pp. 244–247.

ICSM-2010-Mantyla #empirical

Empirical software evolvability — code smells and human evaluations (MM), pp. 1–6.

ICSM-2010-OlbrichCS #case study #evolution #open source

Are all code smells harmful? A study of God Classes and Brain Classes in the evolution of three open source systems (SMO, DC, DIKS), pp. 1–10.

MSR-2010-RahmanBD #named #question #what

Clones: What is that smell? (FR, CB, PTD), pp. 72–81.

SOFTVIS-2010-Murphy-HillB #interactive #visualisation

An interactive ambient visualization for code smells (ERMH, APB), pp. 5–14.

ICSE-2010-GuoSZS #empirical

Domain-specific tailoring of code smells: an empirical study (YG, CBS, NZ, FS), pp. 167–170.

QoSA-2009-GarciaPEM #architecture #towards

Toward a Catalogue of Architectural Bad Smells (JG, DP, GE, NM), pp. 146–162.

CSMR-2009-GarciaPEM #architecture #identification

Identifying Architectural Bad Smells (JG, DP, GE, NM), pp. 255–258.

WCRE-1999-AbebeHTM99a

Lexicon Bad Smells in Software (SLA, SH, PT, AM), pp. 95–99.

WCRE-1999-KhomhPG99a #case study

An Exploratory Study of the Impact of Code Smells on Software Change-proneness (FK, MDP, YGG), pp. 75–84.

WCRE-1999-VaucherKMG99a #case study #design #lessons learnt

Tracking Design Smells: Lessons from a Study of God Classes (SV, FK, NM, YGG), pp. 145–154.

ESEC-FSE-2009-LiuYNMS #order #refactoring

Facilitating software refactoring with appropriate resolution order of bad smells (HL, LY, ZN, ZM, WS), pp. 265–268.

CSMR-2008-TsantalisCC #identification #named

JDeodorant: Identification and Removal of Type-Checking Bad Smells (NT, TC, AC), pp. 329–331.

SOFTVIS-2008-ParninGN #lightweight #visualisation

A catalogue of lightweight visualizations to support code smell inspection (CP, CG, ON), pp. 77–86.

ICSM-2007-BakotaFG #evolution

Clone Smells in Software Evolution (TB, RF, TG), pp. 24–33.

ICSM-2007-FokaefsTC #identification #named

JDeodorant: Identification and Removal of Feature Envy Bad Smells (MF, NT, AC), pp. 519–520.

SEKE-2007-PivetaHMPAGP #aspect-oriented

Avoiding Bad Smells in Aspect-Oriented Software (EKP, MH, AMDM, MSP, JA, PG, RTP), p. 81–?.

MoDELS-2007-CorreaWB #empirical #ocl #refactoring #specification

An Empirical Study of the Impact of OCL Smells and Refactorings on the Understandability of OCL Specifications (ALC, CW, MdOB), pp. 76–90.

MoDELS-2007-CorreaWB #empirical #ocl #refactoring #specification

An Empirical Study of the Impact of OCL Smells and Refactorings on the Understandability of OCL Specifications (ALC, CW, MdOB), pp. 76–90.

TestCom-FATES-2007-NeukirchenB #detection #problem #quality #testing

Utilising Code Smells to Detect Quality Problems in TTCN-3 Test Suites (HN, MB), pp. 228–243.

ICSM-2006-RompaeyBD

Characterizing the Relative Significance of a Test Smell (BVR, BDB, SD), pp. 391–400.

CHI-2006-BrewsterMM #design #interactive #named

Olfoto: designing a smell-based interaction (SAB, DKM, CM), pp. 653–662.

SOFTVIS-2006-ParninG #lightweight #visualisation

Lightweight visualizations for inspecting code smells (CP, CG), pp. 171–172.

ICSM-2004-MantylaVL

Bad Smells — Humans as Code Critics (MM, JV, CL), pp. 399–408.

ICSM-2003-MantylaVL #empirical #taxonomy

A Taxonomy and an Initial Empirical Study of Bad Smells in Code (MM, JV, CL), pp. 381–384.

WCRE-2002-EmdenM #assurance #detection #java #quality

Java Quality Assurance by Detecting Code Smells (EVE, LM), p. 97–?.

ICSE-2002-ElssamadisyS #programming

Recognizing and responding to “bad smells” in extreme programming (AE, GS), pp. 617–622.

SCAM-2001-Knight #analysis #exclamation #java

Smell the Coffee! Uncovering Java Analysis Issues (CK), pp. 163–169.