Data-Centric Business And Applications: Towards Software Development

270 Pages·2020·10.612 MB·English

by  Aneta Poniszewska-Marańda, Natalia Kryvinska, Stanisław Jarząbek, Lech Madeyski

Lecture Notes on Data Engineering
and Communications Technologies 40
Aneta Poniszewska-Marańda
Natalia Kryvinska
Stanisław Jarząbek
Lech Madeyski Editors
Data-Centric
Business and
Applications
Towards Software Development
(Volume 4)
Lecture Notes on Data Engineering
and Communications Technologies
Volume 40
Series Editor
Fatos Xhafa, Technical University of Catalonia, Barcelona, Spain
Theaimofthebookseriesistopresentcuttingedgeengineeringapproachestodata
technologiesandcommunications.Itwillpublishlatestadvancesontheengineering
taskofbuildinganddeployingdistributed,scalableandreliabledatainfrastructures
and communication systems.
The series will have a prominent applied focus on data technologies and
communications with aim to promote the bridging from fundamental research on
data science and networking to data engineering and communications that lead to
industry products, business knowledge and standardisation.
** Indexing: The books of this series are submitted to ISI Proceedings,
MetaPress, Springerlink and DBLP **
More information about this series at http://www.springer.com/series/15362
ń
Aneta Poniszewska-Mara da Natalia Kryvinska
(cid:129) (cid:129)
ł ą
Stanis aw Jarz bek Lech Madeyski
(cid:129)
Editors
Data-Centric Business
and Applications
Towards Software Development (Volume 4)
123
Editors
Aneta Poniszewska-Marańda Natalia Kryvinska
Institute of Information Technology Department ofe-Business, Faculty
Lodz University of Technology of Business,Economics andStatistics
Łódź,Poland University of Vienna
Vienna,Wien, Austria
Stanisław Jarząbek
Faculty of Computer Science Lech Madeyski
Bialystok University of Technology Faculty of Computer Science
Białystok,Poland andManagement
Wrocław University of Science
andTechnology
Wrocław,Poland
ISSN 2367-4512 ISSN 2367-4520 (electronic)
Lecture NotesonDataEngineering andCommunications Technologies
ISBN978-3-030-34705-5 ISBN978-3-030-34706-2 (eBook)
https://doi.org/10.1007/978-3-030-34706-2
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Preface
With the fourth volume we continue to analyze challenges and opportunities for
doing business with information emphasizing development of the software from
differentpointsofview.Wecoveralsomethodsandtechniques,aswellasstrategies
for the efficient software production toward business information processing and
management.
Explicitly, starting with the first chapter “Towards a Unified Requirements
Model for Distributed High Performance Computing”, the authors discuss the
conceptualmodel,functionalscope,andresearchagendaforcreatingandvalidating
aDistributedHigh-PerformanceComputing(DHPC)softwaredevelopmentsystem
that fulfills defined requirements. A generic requirements model consisting of a
conceptual domain specification, unified domain vocabulary, and use-case-based
functional requirements is proposed. Vocabulary definition provides detailed clar-
ifications of HPC fundamental component elements and their role in the system.
Moreover, the authors describe the security issues by providing transparency
principles for HPC. A research agenda that leads to the creation of a model-based
softwaredevelopmentsystemdedicatedtobuildingDistributedHPCapplicationsat
a high level of abstraction is also proposed.
Inthenextchaptertitled“RequirementEngineeringasaSoftwareDevelopment
Process”,definitionofmodelofrequirementsmanagementplatformaimedatAgile
practitioners to bridge the gap between source code tooling and requirements
engineering is given. The chapter describes a requirements management tool,
incorporating software development practices into requirements engineering. The
authors’aimistoprovideanopenarchitectureforvariousrequirementsengineering
activitiesbyproposingamappingofvariousaspectsofsoftwaredevelopmentbased
on Continuous Integration to requirements engineering and describing a prototype
of requirements management tool built to validate the proposed concept.
In the work called “Information Management System for an Administrative
Office with RFID-Tagged Classified Documents”, the authors present the devel-
opment of system for electronic and paper document traceability based on RFID
tags. Starting from describing the system architecture for the RFID-equipped
restrictedaccessadministrativeoffice,thechapterdealswithhardwareandsoftware
v
vi Preface
components as well as business and simulation models which are the result of
analytical work performed by the group of experts. Such group was composed of
specialist in different fields, such as document management, IT, data security, and
radiofrequencyidentificationtodevelopandevaluatethesystempropositionbased
on computer simulation.
The chapter authored by Bogumiła Hnatkowska and Martyna Litkowska,
“Framework for Processing Behavioral Business Rules Written in a Controlled
NaturalLanguage”presentstheideaofprocessingthebehavioralbusinessrulesthat
were written in controlled natural language that is highly recommended to be
understandableforallinterestedparties.Thepaperpresentsthestateofaframework
for business rules processing to be able to serve the business rules written in
controlled language. As the authors mentioned, there exists a very limited number
of solutions enabling processing business rules expressed that way. The proof-of-
conceptimplementationthatprovedthecorrectnessandusefulnessoftheproposed
approach was also presented.
“Software Defect Prediction Using Bad Code Smells: A Systematic Literature
Review” presents the state of the art in the field of fault prediction models that
include code smell information—the authors give the current state of the art in the
fieldofbugpredictionwiththeuseofcodesmellsandattempttoidentifytheareas
requiringfurtherresearch.Toachievethisgoal,asystematicliteraturereviewof27
researchpapers published between 2006and2019wasconducted.Foreachpaper,
thereportedrelationshipbetweensmellinessandbugginesswasanalyzed,aswellas
theperformanceofcodesmelldatausedasadefectpredictorinmodelsdeveloped
using machine learning techniques was evaluated. The results of this investigation
confirm that code smells are positively correlated with software defects and can
positively influence the performance offault detection models.
The chapter “Software Development Artifacts in Large Agile Organizations: A
Comparison of Scaling Agile Methods” focuses on higher complexity related to
multiple value streams development pipelines orchestration, communications
among many distributed teams, inter-team dependencies management, and infor-
mation flow between teams. The purpose of the authors is to compare the possible
agile frameworks for scaling development organizations working in an agile cul-
ture, and their outcomes materialized as artifacts.
The work entitled “Tabu Search Algorithm for Vehicle Routing Problem with
Time Windows” emphases the transportation as an important task in the society
because economies of modern world are based on internal and foreign trade. The
authorfocusesononeoftheproblemsinthefieldoftransportationwhichisVehicle
Routing Problem (VRP) proposing the solution to some aspects of it using the
general vehicle routing heuristics needed for real-life problems. One of them is
Tabu Search that is presented as an efficient algorithm to solve Vehicle Routing
Problem with Time Windows constraint. The optimistic and interesting results of
using the algorithms for benchmark cases were also presented. Moreover, the
obtained results were compared with world’s best values to show that the imple-
mentation of heuristic has improved the best known solutions to benchmark cases
for many problems.
Preface vii
In the chapter authored by Hanna Grodzicka, Arkadiusz Ziobrowski, Zofia
Łakomiak,MichałKawa, and Lech Madeyski,“Code Smell Prediction Employing
Machine Learning Meets Emerging Java Language Constructs” contributes to
definition of code smell that recognition tends to be highly subjective. However,
there exist some code smells detection tools and some of them use the machine
learning techniques to overcome the disadvantages of automatic detection tools.
The main purpose of the authors was to develop a research infrastructure and
reproduce the process of code smell prediction proposed by Arcelli Fontana et al.
To do that they investigatedmachine learning algorithms performance for samples
including major modern Java language features. This study was performed with
dataset of 281 Java projects. The detection rules derived from the best performing
algorithms incorporated newly introduced metrics that were described.
The next chapter “Cloud Cognitive Services Based on Machine Learning
Methods in Architecture of Modern Knowledge Management Solutions” presents
the concept of cloud cognitive services as cloud computing services available to
help developers to build the intelligent applications based on Machine Learning
methodswithpretrainedmodelsasaservice.Currently,MachineLearningplatform
is one of the fastest growing services of the cloud because machine learning and
artificial intelligence platforms are available through diverse delivery models such
ascognitivecomputing,automatedmachinelearning,andmodelmanagement.The
authorproposesanewcognitiveservicebasedapproachtobuildanarchitectureof
knowledge management system. The possibilities of using cognitive service were
analyzed and some of the relevant aspects of cloud cognitive service and machine
learning in knowledge management context were discussed.
In the next chapter titled “Anti-Cheat Tool for Detecting Unauthorized User
InterferenceintheUnityEngineUsingBlockchain”,theconceptofblockchainwas
used for security aspects such as detecting of unauthorized user interference in the
Unity engine.Themainaimoftheauthorswastoanalyzetheproblemofcheating
in online games and to design a comprehensive tool for the Unity engine that
detectsandprotectstheapplicationsagainstunauthorizedinterferencebyauser.To
do that, the basic functions such as detecting and blocking of unauthorized inter-
ference in the device’s memory, detecting the modification of the speed of time
flowing the game, and detecting time changes in the operating system were intro-
duced. The analysis of current potential of blockchain technology as a secure
database for the game was also presented.
In the chapter “Approaches to Business Analysis in Scrum at StepStone—Case
Study”,theauthordiscussesthepossibilitiesofusingtheagilemethodsfordifferent
areas of a business analysis because the opinions about the role of a Business
Analyst in Agile teams vary greatly—from negation of its existence to acceptance
of a business analyst as a team member, working side by side with programmers.
The author presents his own experience is this domain, experimented with several
modelsofteamorganization,withorwithoutdedicatedBAs.Twomostprominent
casesarepresented:whentheBAwasafull-timememberofthedevelopmentteam
andwhen theBA’srolewas distributed between otherteam members—developers
and Product Owner. Moreover, the advantages, disadvantages, and the transition
viii Preface
process are discussed together with the techniques to help in development of
necessary analytical skills and transforming team organization.
The chapter called “Development Method of Innovative Projects in Higher
Education Based on Traditional Software Building Process” refines the earlier
establishedmetricsofprojectqualityandprojectefficiency,categorizesthemalong
the proposed success dimensions, providing the necessary adaptations for an aca-
demicsettingandgeneralizingthemsothattheycanbeappliedtoabroadspectrum
of student software undertakings. The authors focus on the students’ projects and
their success metrics such as three dimensions of success that have been elicited
basingonpriorindustrialstudies:projectquality,projectefficiencyaswellassocial
factors (teamwork quality and learning outcomes).
A further chapter “Light-Weight Congestion Control for the DCCP:
Implementation in the Linux Kernel” aims to present the prototype implementa-
tion of the light-weight DCCP’s congestion control algorithm, designed for mul-
timedia transmission. This algorithm was based on the RTP linear throughput
equation and the prototype implementation in the Linux kernel includes a new
congestion control module and updates to the DCCP kernel API. The implemen-
tation was tested and the results of the tests were presented by the authors.
And, the final chapter “Light-Weight Congestion Control for the DCCP:
Implementation in the Linux Kernel” presents the prototype implementation of
modified TFRC congestion control, designed for multimedia transmission. The
described implementation in Linux kernel includes both a new congestion control
module and updates to the DCCP kernel API. The proposed solution causes the
DCCP to be not fully TCP-friendly, but still remains TCP-tolerant and does not
cause unnecessary degradation of competing TCP flows.
Łódź, Poland Aneta Poniszewska-Marańda
[email protected]
Vienna, Austria Natalia Kryvinska
[email protected]
Białystok, Poland Stanisław Jarząbek
[email protected]
Wrocław, Poland Lech Madeyski
[email protected]
Contents
Towards a Unified Requirements Model for Distributed High
Performance Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Michał Śmiałek, Kamil Rybiński, Radosław Roszczyk
and Krzysztof Marek
Requirement Engineering as a Software Development Process. . . . . . . . 21
Pawel Baszuro and Jakub Swacha
Information Management System for an Administrative Office
with RFID-Tagged Classified Documents . . . . . . . . . . . . . . . . . . . . . . . . 41
Robert Waszkowski and Tadeusz Nowicki
Framework for Processing Behavioral Business Rules Written
in a Controlled Natural Language . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Bogumiła Hnatkowska and Martyna Litkowska
Software Defect Prediction Using Bad Code Smells: A Systematic
Literature Review. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77
Paweł Piotrowski and Lech Madeyski
Software Development Artifacts in Large Agile Organizations:
A Comparison of Scaling Agile Methods . . . . . . . . . . . . . . . . . . . . . . . . 101
Ewelina Wińska and Włodzimierz Dąbrowski
Tabu Search Algorithm for Vehicle Routing Problem
with Time Windows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
Joanna Ochelska-Mierzejewska
CodeSmellPredictionEmployingMachineLearningMeetsEmerging
Java Language Constructs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137
Hanna Grodzicka, Arkadiusz Ziobrowski, Zofia Łakomiak, Michał Kawa
and Lech Madeyski
ix