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Magnus Eriksson

dblp:03/4504 · DBLP profile ↗
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5ranked-venue papers
4as first author
0since 2021 · last 2009
0000-0003-0693-0287ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 4 · 3 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorComputer networks · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Cellular and mobile networks · 61% Network optimization and economics · 30% Content delivery and video streaming · 9%
Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
use case modeling
0.112005
The PLUSS toolkit - extending telelogic DOORS and IBM-rational rose to support product line use case modeling · ASE 2005
Network optimization and economics
dynamic resource allocation
0.012001
Dynamic single frequency networks · IEEE J. Sel. Areas Commun. 2001
Cellular and mobile networks
radio access networks
0.012001
Dynamic single frequency networks · IEEE J. Sel. Areas Commun. 2001
Cellular and mobile networks
radio resource management
0.012001
Dynamic single frequency networks · IEEE J. Sel. Areas Commun. 2001
Requirements engineering and software design
software product lines
0.012005
The PLUSS toolkit - extending telelogic DOORS and IBM-rational rose to support product line use case modeling · ASE 2005
Content delivery and video streaming › video broadcasting
digital video broadcasting
0.012001
Dynamic single frequency networks · IEEE J. Sel. Areas Commun. 2001

Methods — techniques the papers use, named apart from their topics

use case modeling · 0.1UML · 0.1packet scheduling · 0.0macrodiversity · 0.0OFDM · 0.0
YearPublicationVenuePosition
2009 Managing requirements specifications for product lines - An approach and industry case study
Magnus Eriksson, Jürgen Börstler, Kjell Borg
J. Syst. Softw.1
2007 A controlled empirical evaluation of a requirements abstraction model
Tony Gorschek, Mikael Svahnberg, Andreas Borg, Annabella Loconsole, Jürgen Börstler, Kristian Sandahl, Magnus Eriksson
Inf. Softw. Technol.7
2005 The PLUSS toolkit - extending telelogic DOORS and IBM-rational rose to support product line use case modeling
abstract
The PLUSS approach (Product Line Use case modeling for Systems and Software engineering) is a domain modeling method tailored towards the development of long lived software intensive systems. PLUSS provides means to maintain a common and complete use case model for a whole family of systems. In this paper, we describe how the commercial requirements management tool Telelogic DOORS and the UML modeling tool IBM-Rational Rose can be extended and used for managing system family models in accordance with the PLUSS approach.
Magnus Eriksson, Henrik Morast, Jürgen Börstler, Kjell Borg
ASE1
2005 The PLUSS Approach - Domain Modeling with Features, Use Cases and Use Case Realizations
Magnus Eriksson, Jürgen Börstler, Kjell Borg
SPLC1
2001 Dynamic single frequency networks
abstract
Wireless asymmetric Internet access with a downlink peak bit rate of 10 to 30 Mb/s can be achieved by using the terrestrial digital video broadcasting system (DVB-T) as a supplemental downlink together with today's cellular systems. This paper is a study of dynamic radio resource management on a packet-by-packet basis for this broadband downlink. The dynamic single frequency networks (DSFN) scheme is evaluated. It exploits the macrodiversity capability of the OFDM modulation scheme. The transmitters are dynamically divided into groups of transmitters that send the same information at the same channel frequency simultaneously. The fairly shared spectrum efficiency (FSSE), in bits per second per Hertz per site, which is a combined measurement of maximum throughput and fairness, is evaluated for best-effort traffic. DSFN improves the FSSE by 100% to 370%, for a certain set of test cases, in comparison to the dynamic packet assignment (DPA) scheme, which combines packet scheduling with dynamic channel assignment (DCA).
Magnus Eriksson
IEEE J. Sel. Areas Commun.1