♂ Person: Houari A. Sahraoui

DBLP: Sahraoui:Houari_A=

Facilitated 9 volumes:

PrCo

PrCo

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Ed

PrCo

ExpertReviewPa

PrBoard

GCh

SaEventsCh

Contributed to:

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Wrote 59 papers:

ICPC-2015-BenomarASPS #detection #development #evolution #process

Detection of software evolution phases based on development activities (OB, HA, HAS, PP, MAS), pp. 15–24.

ICPC-2015-SaiedABS #api #library #question #source code #using

Could we infer unordered API usage patterns only using the library source code? (MAS, HA, OB, HAS), pp. 71–81.

ICSE-v2-2015-BenomarSP #comprehension #framework

A Unified Framework for the Comprehension of Software’s Time (OB, HAS, PP), pp. 603–606.

SANER-2015-SaiedBAS #api #mining #multi

Mining Multi-level API Usage Patterns (MAS, OB, HA, HAS), pp. 23–32.

SANER-2015-SaiedSD #api #constraints #documentation

An observational study on API usage constraints and their documentation (MAS, HAS, BD), pp. 33–42.

ASE-2014-AbdeenVSNDHH #design #multi #optimisation #rule-based

Multi-objective optimization in rule-based design space exploration (HA, DV, HAS, ASN, CD, ÁH, ÁH), pp. 289–300.

ECSA-2014-SeriaiSS #component #object-oriented

Enactment of Components Extracted from an Object-Oriented Application (AS, SS, HAS), pp. 234–249.

MoDELS-2014-BakiSCMF #learning #model transformation

Learning Implicit and Explicit Control in Model Transformations by Example (IB, HAS, QC, PM, MF), pp. 636–652.

VISSOFT-2014-BlouinMBS #metamodelling #scalability #visualisation

Slicing-Based Techniques for Visualizing Large Metamodels (AB, NM, BB, HAS), pp. 25–29.

VISSOFT-2014-SeriaiBCS #tool support #validation #visualisation

Validation of Software Visualization Tools: A Systematic Mapping Study (AS, OB, BC, HAS), pp. 60–69.

WICSA-2014-SeriaiSSH #component #interface #legacy

Deriving Component Interfaces after a Restructuring of a Legacy System (AS, SS, HAS, SH), pp. 31–40.

ASE-2013-SaadaHNS #model transformation #multi #optimisation #using

Recovering model transformation traces using multi-objective optimization (HS, MH, CN, HAS), pp. 688–693.

CSMR-2013-OuniKS #refactoring #search-based #using

Search-Based Refactoring Using Recorded Code Changes (AO, MK, HAS), pp. 221–230.

FASE-2013-BouchouchaSL #behaviour #comprehension #modelling #probability #towards #using

Towards Understanding the Behavior of Classes Using Probabilistic Models of Program Inputs (AB, HAS, PL), pp. 99–113.

ICMT-2013-FaunesSB #approach #model transformation

Genetic-Programming Approach to Learn Model Transformation Rules from Examples (MF, HAS, MB), pp. 17–32.

ICSM-2013-AbdeenSS #design #how #interface

How We Design Interfaces, and How to Assess It (HA, HAS, OS), pp. 80–89.

MoDELS-2013-FaunesCBSC #automation #metamodelling

Automatically Searching for Metamodel Well-Formedness Rules in Examples and Counter-Examples (MF, JJC, BB, HAS, BC), pp. 187–202.

VISSOFT-2013-BenomarSP #heatmap #visualisation

Visualizing software dynamicities with heat maps (OB, HAS, PP), pp. 1–10.

WCRE-2013-AbdeenSSAD #automation #design #towards

Towards automatically improving package structure while respecting original design decisions (HA, HAS, OS, NA, SD), pp. 212–221.

ASE-2012-FaunesSB #algorithm #generative #model transformation #using

Generating model transformation rules from examples using an evolutionary algorithm (MF, HAS, MB), pp. 250–253.

ICSM-2012-DuseauDS #approach #named #visual notation

Vasco: A visual approach to explore object churn in framework-intensive applications (FD, BD, HAS), pp. 15–24.

ICSM-2012-OuniKSH #refactoring #search-based #semantics #towards

Search-based refactoring: Towards semantics preservation (AO, MK, HAS, MSH), pp. 347–356.

ICST-2012-CadavidBS #bound #metamodelling #modelling

Searching the Boundaries of a Modeling Space to Test Metamodels (JJC, BB, HAS), pp. 131–140.

MoDELS-2012-SaadaDHNS #generative #model transformation

Generation of Operational Transformation Rules from Examples of Model Transformations (HS, XD, MH, CN, HAS), pp. 546–561.

CSMR-2011-KessentiniSBW #design #detection #fault #generative #music

Design Defect Detection Rules Generation: A Music Metaphor (MK, HAS, MB, MW), pp. 241–248.

FASE-2011-KessentiniSBW #design #detection #fault #search-based

Search-Based Design Defects Detection by Example (MK, HAS, MB, MW), pp. 401–415.

ICPC-2011-KessentiniKSBO #design #detection #fault

Design Defects Detection and Correction by Example (MK, WK, HAS, MB, AO), pp. 81–90.

SCAM-2011-SfayhiS #analysis #interactive #visualisation #what

What You See is What You Asked for: An Effort-Based Transformation of Code Analysis Tasks into Interactive Visualization Scenarios (AS, HAS), pp. 195–203.

WCRE-2011-AbdeenDS #composition #legacy #metric #object-oriented #scalability

Modularization Metrics: Assessing Package Organization in Legacy Large Object-Oriented Software (HA, SD, HAS), pp. 394–398.

WICSA-2011-AllierSSF #architecture #component #object-oriented

From Object-Oriented Applications to Component-Oriented Applications via Component-Oriented Architecture (SA, SS, HAS, RF), pp. 214–223.

ASE-2010-KessentiniVS #identification #risk management

Deviance from perfection is a better criterion than closeness to evil when identifying risky code (MK, SV, HAS), pp. 113–122.

CBSE-2010-AllierSSV #component #consistency #execution #object-oriented #using

Restructuring Object-Oriented Applications into Component-Oriented Applications by Using Consistency with Execution Traces (SA, HAS, SS, SV), pp. 216–231.

ECMFA-2010-KessentiniBSB #diagrams #heuristic #petri net #sequence chart #using

Example-Based Sequence Diagrams to Colored Petri Nets Transformation Using Heuristic Search (MK, AB, HAS, MB), pp. 156–172.

SCAM-2010-AllierVDS #graph #metric

Deriving Coupling Metrics from Call Graphs (SA, SV, BD, HAS), pp. 43–52.

WCRE-2010-GratiSP #diagrams #execution #interactive #sequence chart #using #visualisation

Extracting Sequence Diagrams from Execution Traces Using Interactive Visualization (HG, HAS, PP), pp. 87–96.

SCAM-2009-AlikacemS #framework #metric

A Metric Extraction Framework Based on a High-Level Description Language (EHA, HAS), pp. 159–167.

SEKE-2009-LounisAS #approach #impact analysis #maintenance #predict

Predicting Maintainability expressed as Change Impact: A Machine-learning-based Approach (HL, MKA, HAS), pp. 122–128.

VISSOFT-2009-HassaineDSP #analysis #generative #maintenance #visualisation

Generating visualization-based analysis scenarios from maintenance task descriptions (SH, KD, HAS, PP), pp. 41–44.

CSMR-2008-DhambriSP #design #detection #visual notation

Visual Detection of Design Anomalies (KD, HAS, PP), pp. 279–283.

MoDELS-2008-KessentiniSB #model transformation #optimisation #problem

Model Transformation as an Optimization Problem (MK, HAS, MB), pp. 159–173.

WCRE-2008-VaucherSV #object-oriented

Discovering New Change Patterns in Object-Oriented Systems (SV, HAS, JGV), pp. 37–41.

FASE-2006-MiliSLME

Concerned About Separation (HM, HAS, HL, HM, AE), pp. 247–261.

ASE-2005-HaydarBPS #model checking #web

Properties and scopes in web model checking (MH, SB, AP, HAS), pp. 400–404.

ASE-2005-LangelierSP #analysis #quality #scalability #visualisation

Visualization-based analysis of quality for large-scale software systems (GL, HAS, PP), pp. 214–223.

WCRE-2004-GueheneucSZ #design pattern

Fingerprinting Design Patterns (YGG, HAS, FZ), pp. 172–181.

ASE-2002-AzarPBKS #adaptation #algorithm #modelling #predict #quality #search-based

Combining and Adapting Software Quality Predictive Models by Genetic Algorithms (DA, DP, SB, BK, HAS), pp. 285–288.

ASE-2002-GrosserSV #predict #reasoning #using

Predicting Software Stability Using Case-Based Reasoning (DG, HAS, PV), p. 295–?.

ICSM-2002-BouktifSK #approach #modelling #predict #quality

Combining Software Quality Predictive Models: An Evolutionary Approach (SB, HAS, BK), pp. 385–392.

ASE-2000-SahraouiLBE #assessment #automation #library #reuse #towards

Towards the Automatic Assessment of Evolvability for Reusable Class Libraries (HAS, HL, MB, FE), pp. 289–292.

ICSM-2000-SahraouiGM #automation #design #metric #object-oriented #quality #question

Can Metrics Help to Bridge the Gap between the Improvement of OO Design Quality and its Automation? (HAS, RG, TM), pp. 154–162.

ASE-1999-MiceliSG #design #detection #metric

A Metric Based Technique for Design Flaws Detection and Correction (TM, HAS, RG), pp. 307–310.

WCRE-1999-AbdeenDSA99a #automation

Automatic Package Coupling and Cycle Minimization (HA, SD, HAS, IA), pp. 103–112.

ASE-1998-MaoSL #case study #machine learning #reuse #usability #using #verification

Reusability Hypothesis Verification using Machine Learning Techniques: A Case Study (YM, HAS, HL), pp. 84–93.

ASE-1997-SahraouiMLD #concept #identification

Applying Concept Formation Methods to Object Identification in Procedural Code (HAS, WLM, HL, FD), pp. 210–218.

ECMFA-2016-KessentiniSW #approach #automation #co-evolution #metamodelling #multi #optimisation #using

Automated Metamodel/Model Co-evolution Using a Multi-objective Optimization Approach (WK, HAS, MW), pp. 138–155.

MoDELS-2016-BatotS #framework #learning #testing #unification

A generic framework for model-set selection for the unification of testing and learning MDE tasks (EB, HAS), pp. 374–384.

MoDELS-2017-BatotKSF #heuristic #metamodelling #ocl #recommendation

Heuristic-Based Recommendation for Metamodel — OCL Coevolution (EB, WK, HAS, MF), pp. 210–220.

MoDELS-2018-KessentiniWS #co-evolution #design #interactive #metamodelling

Integrating the Designer in-the-loop for Metamodel/Model Co-Evolution via Interactive Computational Search (WK, MW, HAS), pp. 101–111.

MoDELS-2018-MokaddemSS #recommendation #refactoring

Recommending Model Refactoring Rules from Refactoring Examples (CeM, HAS, ES), pp. 257–266.