A situational approach for the definition and tailoring of a data-driven software evolution method

Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance. To overcome this challenge, there is an increasing number of approaches that propose intensive use of data to drive evolution. This trend has motivated the SUPERSEDE method, which proposes the collection and analysis of user feedback and monitoring data as the baseline to elicit and prioritize requirements, which are then used to plan the next release. However, every company may be interested in tailoring this method depending on factors like project size, scope, etc. In order to provide a systematic approach, we propose the use of Situational Method Engineering to describe SUPERSEDE and guide its tailoring to a particular context.Peer ReviewedPostprint (author's final draft

Sustainable and agile manufacturing outsourcing partner selection: a literature review

[EN] Outsourcing to third party to manage non-core activities helps the firm to focus on core activities. Manufacturing firms are outsourcing product development, manufacturing, logistics, customer care etc. to enhance production capacity and flexibility, and to reduce operational costs, which in turn can improve profitability and competitive advantage of the enterprise. Sustainability in operations and supply chain is gaining momentum due to increased global environmental concern, pressures from consumers and communities, and enforced regulations. Volatile and uncertain business environment necessitates the adoption of agility and flexibility to effectively manage manufacturing and supply chain. Globalisation has made the market very competitive and hence manufacturing firms are adopting manufacturing outsourcing to third parties. Selecting a sustainable and agile manufacturing outsourcing partner (MPS) is crucial as it will improve sustainability, efficiency, and effectiveness of the supply chain and competitive advantage to the firm. Detailed literature review on sustainable and agile manufacturing outsourcing partner selection has been carried out from EBSCO data base and Goggle scholar. Selection criteria used are classified into agile, operational, economic, environmental and social. The techniques use are mostly multi criteria decision making methods (MCDM) while few have adopted programming techniques. Discussion, implication and the scope of future work is also provided.Akhtar, M. (2022). Sustainable and agile manufacturing outsourcing partner selection: a literature review. International Journal of Production Management and Engineering. 10(2):143-158. https://doi.org/10.4995/ijpme.2022.1680714315810

Determination of Project Management Technique using AHP Decision-Making in Projects

This study presents the Analytical Hierarchy Process (AHP) as a potential decision-making method of project management techniques in international trade project management. Forms created by AHP method with the involvement of 7 employees, including administrative and technical project managers and project planning supervisors working in the Project Management Organization of a leading engineering and technology company in Turkey, were collected by in-depth interview technique. After the consistency analysis, the final project management technique analysis was made. According to the findings obtained in the study, Result Orientation, Delivery Performance Competence and Installation Cost Efficiency were evaluated as the 3 most important criteria when deciding on the project management technique; that, the decision makers will apply in project management. It is possible to mention that AGILE project management is the most preferred technique. In future studies, the effect of creating an ideal project management technique framework in project management organizations can be examined based on the sequence of techniques revealed in this study and their superiorities

A process based approach software certification model for agile and secure environment

In today’s business environment, Agile and secure software processes are essential since they bring high quality and secured software to market faster and more cost effectively. Unfortunately, some software practitioners are not following the proper practices of both processes when developing software. There exist various studies which assess the quality of software process; nevertheless, their focus is on the conventional software process. Furthermore, they do not consider weight values in the assessment although each evaluation criterion might have different importance. Consequently, software certification is needed to give conformance on the quality of Agile and secure software processes. Therefore, the objective of this thesis is to propose Extended Software Process Assessment and Certification Model (ESPAC) which addresses both software processes and considers the weight values during the assessment. The study is conducted in four phases: 1) theoretical study to examine the factors and practices that influence the quality of Agile and secure software processes and weight value allocation techniques, 2) an exploratory study which was participated by 114 software practitioners to investigate their current practices, 3) development of an enhanced software process certification model which considers process, people, technology, project constraint and environment, provides certification guideline and utilizes the Analytic Hierarchy Process (AHP) for weight values allocation and 4) verification of Agile and secure software processes and AHP through expert reviews followed by validation on satisfaction and practicality of the proposed model through focus group discussion. The validation result shows that ESPAC Model gained software practitioners’ satisfaction and practical to be executed in the real environment. The contributions of this study straddle research perspectives of Software Process Assessment and Certification and Multiple Criteria Decision Making, and practical perspectives by providing software practitioners and assessors a mechanism to reveal the quality of software process and helps investors and customers in making investment decisions

A United States Air Force Site Selection Methodology in a Contested Agile Combat Employment Environment

The United States Air Force’s (USAF) Agile Combat Employment (ACE) strategy relies on host country access and underlying local infrastructure to facilitate airpower. However, numerous factors, including peer-to-peer threats, complex geopolitics, and intricate supply chain management, often complicate site access and thwart site selection decisions. When shaping the battlespace for future conflict, strategists and planners face the difficult task of identifying optimal locations to conduct adaptive basing operations given these complicating factors. Multi-Criteria Decision Analysis (MCDA) can help strategists appropriately account for competing objectives and maintain a competitive advantage with theater adversaries. This thesis presents an MCDA model that evaluates ACE site selection alternatives within the Pacific Air Forces (PACAF) Area of Responsibility (AOR) using a geographic information system (GIS) enabled analytic hierarchy process (AHP) methodology and open-source data pertinent to the theater. The model analyzed 576 airports in 26 countries and compared alternative locations based on runway length, the Fragile States Index (FSI), the population center of the People’s Republic of China, construction equipment dealers, and natural water resources. The results demonstrate the framework’s efficacy and utility in identifying existing airports best suited for the deployment of USAF combat and support assets. The methodology is expected to provide invaluable support to Combatant Commanders as they optimize ACE infrastructure, preserve resources, and minimize risk to United States Armed Forces

A Novel Partner Selection Method in Virtual Enterprise Based on the Ontology and SOA and AHPmodel

Partner selection is a key problem in virtual enterprise. This paper researches on selecting the dynamic, Competitive and compatible partners, which is the key link in the establishment of virtual enterprise. this paper presented a method have two main steps , first step is detecting candidate partner using semantic concept and second step is selecting proper partner using competency and quality of service in AHP method . The advantage of this method scrutiny of partner selection problem , and partner selection in this method occur dynamic and automation

Analysis of Green Computing Strategy in University: Analytic Network Process (ANP) Approach

Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis do not provide an analytical means to determine the importance of the identified factors of green computing strategy and implementation. Although the SWOT analysis successfully explores the factors, individual factors are usually described very generally. For this reason, SWOT analysis possesses deficiencies in the measurement and evaluation of green computing steps. Even though the analytic hierarchy process (AHP) technique eliminates these deficiencies, it does not allow for measuring the possible dependencies among the individual factors. The AHP method assumes that the green computing factors presented in the hierarchical structure are independent; however, this assumption may be inappropriate in light of certain situation. Therefore, it is important to utilize a form of SWOT analysis that calculates and takes into account the possible dependency among the factors. This paper demonstrates a process for quantitative SWOT analysis of green computing implementation that can be performed even when there is dependence among strategic factors. The proposed algorithm uses the analytic network process (ANP), which allows measurement of the dependency among the green computing implementation factors, as well as AHP, which is based on the independence between the factors. There are four alternatives: campus awareness program, computer procurement, increase in heat removal requirement, and increase in equipment power density for improving the implementation of green computing in campus. Dependency among the SWOT factors is observed to effect the strategic and sub-factor weights, as well as to change the strategy priorities. Based on ANC method, the best alternative for this implementation is computer procurement

An AHP-Based Framework for Effective Requirement Management in Agile Software Development (ASD)

In Agile changes may be made at any time throughout the project lifetime in agile projects. These changes, however, often lead to longer turnaround times and higher costs while having a substantial influence on the activities and quality of project management. The suggested framework's main goal is to increase the effectiveness and flexibility of the requirement engineering process by successfully managing requirements changes, particularly in contexts where Agile Software Development (ASD) is practiced. The Agile methodology has gained popularity as a strategy for developing software because it can adjust to changing requirements and deliver software gradually. To make sure that the software being produced satisfies stakeholder expectations and adds value to the firm, good requirement management is essential. Using the Analytic Hierarchy Process (AHP) to prioritize requirements based on their relative relevance and urgency, this article introduces a framework for requirement management in Agile Projects. The most important requirements are taken care of first thanks to this strategy, which enables a more organized and informed decision-making process. We demonstrate the actual use of our framework in real-world contexts and highlight its efficacy in solving the issues faced by Agile projects by including a case study and an accompanying table. The suggested framework also supports the three core tenets of the Agile approach—transparency, cooperation, and continuous improvement—to foster an environment of excellence and ongoing learning within the Agile team. By developing these fundamental ideas, our framework not only supports Agile teams' continual growth and development but also helps them manage and prioritize requirements more efficiently, which ultimately improves project results and increases organizational value